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Front matter |
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Harnessing Open-Source LLMs for Tender Named Entity Recognition Asim Abbas, Venelin Kovatchev, Mark Lee, Niloofer Shanavas and Mubashir Ali |
pp. 1‑10 |
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On the Limitations of Large Language Models (LLMs): False Attribution Tosin Adewumi, Nudrat Habib, Lama Alkhaled and Elisa Barney |
pp. 11‑21 |
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Candidate Profile Summarization: A RAG Approach with Synthetic Data Generation for Tech Jobs Anum Afzal, Ishwor Subedi and Florian Matthes |
pp. 22‑31 |
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PersianSciQA: A New Dataset for Bridging the Language Gap in Scientific Question Answering Safoura Aghadavoud Jolfaei, Azadeh Mohebi and Zahra Hemmat |
pp. 32‑37 |
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Multilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English–French and Finnish Translation Benyamin Ahmadnia, Yeswanth Soma and Hossein Sarrafzadeh |
pp. 38‑47 |
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Advancing Clinical Translation in Nepali through Fine-Tuned Multilingual Models Benyamin Ahmadnia, Sumaiya Shaikh, Bibek Poudel, Shazan Mohammed and Sahar Hooshmand |
pp. 48‑56 |
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Advancing Active Learning with Ensemble Strategies Naif Alatrush, Sultan Alsarra, Afraa Alshammari, Luay Abdeljaber, Niamat Zawad, Latifur Khan, Patrick T. Brandt, Javier Osorio and Vito D’Orazio |
pp. 57‑66 |
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Evaluating Large Language Models on Sentiment Analysis in Arabic Dialects Maram I. Alharbi, Saad Ezzini, Hansi Hettiarachchi, Tharindu Ranasinghe and Ruslan Mitkov |
pp. 67‑74 |
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From Posts to Predictions: A User-Aware Framework for Faithful and Transparent Detection of Mental Health Risks on Social Media Hessam Amini and Leila Kosseim |
pp. 75‑84 |
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Beyond Methods and Datasets Entities: Introducing SH-NER for Hardware and Software Entity Recognition in Scientific Text Aftab Anjum, Nimra Maqbool and Ralf Krestel |
pp. 85‑94 |
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Toponym Resolution: Will Prompt Engineering Change Expectations? Isuri Anuradha, Deshan Koshala Sumanathilaka, Ruslan Mitkov and Paul Rayson |
pp. 95‑104 |
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HoloBERT: Pre-Trained Transformer Model for Historical Narratives Isuri Anuradha, Le An Ha and Ruslan Mitkov |
pp. 105‑110 |
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A Framework for Fine-Tuning LLMs Using Heterogeneous Feedback Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra and Nedim Lipka |
pp. 111‑117 |
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Chakoshi: A Customizable Guardrail for LLMs with a Focus on Japanese-Language Moderation Kazuhiro Arai, Ryota Matsui, Kenji Miyama, Yudai Yamamoto, Ren Shibamiya, Kaito Sugimoto and Yoshimasa Iwase |
pp. 118‑124 |
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KoWit-24: A Richly Annotated Dataset of Wordplay in News Headlines Alexander Baranov, Anna Palatkina, Yulia Makovka and Pavel Braslavski |
pp. 125‑132 |
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Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets Eduard Barbu, Meeri-Ly Muru and Sten Marcus Malva |
pp. 133‑142 |
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Mitigating Bias in Text Classification via Prompt-Based Text Transformation Charmaine Barker and Dimitar Kazakov |
pp. 143‑149 |
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Towards CEFR-targeted Text Simplification for Question Adaptation Luca Benedetto and Paula Buttery |
pp. 150‑157 |
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Evaluation of Pretrained and Instruction-Based Pretrained Models for Emotion Detection in Arabic Social Media Text Md. Rafiul Biswas, Shimaa Ibrahim, Mabrouka Bessghaier and Wajdi Zaghouani |
pp. 158‑165 |
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Can LLMs Disambiguate Grounded Language? The Case of PP Attachment John Blackmore and Matthew Stone |
pp. 166‑174 |
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MLDataForge: Accelerating Large-Scale Dataset Preprocessing and Access for Multimodal Foundation Model Training Andrea Blasi Núñez, Lukas Paul Achatius Galke and Peter Schneider-Kamp |
pp. 175‑183 |
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The Impact of Named Entity Recognition on Transformer-Based Multi-Label Dietary Recipe Classification Kemalcan Bora and Horacio Saggion |
pp. 184‑193 |
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Balancing the Scales: Addressing Gender Bias in Social Media Toxicity Detection Beatriz Botella-Gil, Juan Pablo Consuegra-Ayala, Alba Bonet-Jover and Paloma Moreda-Pozo |
pp. 194‑203 |
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"Simple-Tool": A Tool for the Automatic Transformation of Spanish Texts into Easy-to-Read Beatriz Botella-Gil, Isabel Espinosa-Zaragoza, Paloma Moreda Pozo and Manuel Palomar |
pp. 204‑209 |
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QuARK: LLM-Based Domain-Specific Question Answering Using Retrieval Augmented Generation and Knowledge Graphs Edward Burgin, Sourav Dutta and Mingxue Wang |
pp. 210‑217 |
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Classifying Emotions in Tweets from the Financial Market: A BERT-based Approach Wesley Pompeu Carvalho and Norton Trevisan Roman |
pp. 218‑226 |
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Detecting Changes in Mental Health Status via Reddit Posts in Response to Global Negative Events Zenan Chen, Judita Preiss and Peter A. Bath |
pp. 227‑233 |
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APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification Artem Chernodub, Aman Saini, Yejin Huh, Vivek Kulkarni and Vipul Raheja |
pp. 234‑239 |
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Integrating Archaic and Regional Lexicons to Improve the Readability of Old Romanian Texts Madalina Chitez, Roxana Rogobete, Cristina Aura Udrea, Karla Csürös, Ana-Maria Bucur and Mihai Dascalu |
pp. 240‑246 |
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ExPe: Exact Positional Encodings for Generative Transformer Models with Extrapolating Capabilities Aleksis Ioannis Datseris, Sylvia Vassileva, Ivan K. Koychev and Svetla Boytcheva |
pp. 247‑253 |
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End-to-End Deep Learning for Named Entity Recognition and Relation Extraction in Gut-Brain Axis PubMed Abstracts Aleksis Ioannis Datseris, Mario Kuzmanov, Ivelina Nikolova-Koleva, Dimitar Taskov and Svetla Boytcheva |
pp. 254‑259 |
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Enabling On-Premises Large Language Models for Space Traffic Management Enrique De Alba |
pp. 260‑267 |
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Top Ten from Lakhs: A Transformer-based Retrieval System for Identifying Previously Fact-Checked Claims across Multiple Languages Srijani Debnath, Pritam Pal and Dipankar Das |
pp. 268‑274 |
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Evaluating Bilingual Lexicon Induction without Lexical Data Michaela Denisová and Pavel Rychly |
pp. 275‑282 |
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Utilizing Large Language Models for Focused Conversational Assistants Shruti Dhavalikar and Karthika Vijayan |
pp. 283‑290 |
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AntiSemRO: Studying the Romanian Expression of Antisemitism Anca Dinu, Andreea C. Moldovan and Adina Marincea |
pp. 291‑298 |
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Towards a Map of Related Words in Romance Languages Liviu P. Dinu, Ana Sabina Uban, Ioan-Bogdan Iordache, Claudia Vlad, Simona Georgescu, Laurentiu Zoicas and Anca Dinu |
pp. 299‑305 |
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Decoding Emotion in Ancient Poetry: Leveraging Generative Models for Classical Chinese Sentiment Analysis Quanqi Du, Loic De Langhe, Els Lefever and Veronique Hoste |
pp. 306‑315 |
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GRILE: A Benchmark for Grammar Reasoning and Explanation in Romanian LLMs Marius Dumitran, Angela Dumitran and Alexandra Mihaela Danila |
pp. 316‑324 |
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PerSpaCor: Correcting Space and ZWNJ Errors in Persian Text with Transformer Models Matin Ebrahimkhani and Ebrahim Ansari |
pp. 325‑333 |
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Reddit-V: A Virality Prediction Dataset and Zero-Shot Evaluation with Large Language Models Samir El-amrany, Matthias R. Brust, Salima Lamsiyah and Pascal Bouvry |
pp. 334‑341 |
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Simplifications Are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions Lukas Ellinger, Miriam Anschütz and Georg Groh |
pp. 342‑351 |
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Multi-LLM Text Summarization Jiangnan Fang, Cheng-Tse Liu, Jieun Kim, Yash Bhedaru, Ethan Liu, Nikhil Singh, Nedim Lipka, Puneet Mathur, Nesreen K. Ahmed, Franck Dernoncourt, Ryan Rossi and Hanieh Deilamsalehy |
pp. 352‑362 |
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EDAudio: Easy Data Augmentation for Dialectal Audio Lea Fischbach, Akbar Karimi, Alfred Lameli and Lucie Flek |
pp. 363‑368 |
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Authorship Verification Using Cloze Test with Large Language Models Tomáš Foltýnek, Tomáš Kancko and Pavel Rychly |
pp. 369‑377 |
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A Culturally-Rich Romanian NLP Dataset from "Who Wants to Be a Millionaire?" Videos Alexandru Ganea, Antonia-Adelina Popovici and Marius Dumitran |
pp. 378‑387 |
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Graph-based RAG for Low-Resource Aromanian–Romanian Translation Laurentiu G. Ghetoiu and Sergiu Nisioi |
pp. 388‑394 |
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Differential Robustness in Transformer Language Models: Empirical Evaluation under Adversarial Text Attacks Taniya Gidatkar, Oluwaseun Ajao and Matthew Shardlow |
pp. 395‑402 |
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An Annotation Scheme for Factuality and Its Application to Parliamentary Proceedings Gili Goldin, Shira Wigderson, Ella Rabinovich and Shuly Wintner |
pp. 403‑412 |
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Can We Predict Innovation? Narrow Experts versus Competent Generalists Amir Hazem and Motohashi Kazuyuki |
pp. 413‑422 |
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Arabic to Romanian Machine Translation: A Case Study on Distant Language Pairs Ioan Alexandru Hirica, Stefana Arina Tabusca and Sergiu Nisioi |
pp. 423‑432 |
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BiGCAT: A Graph-Based Representation Learning Model with LLM Embeddings for Named Entity Recognition Md. Akram Hossain, Abdul Aziz, Muhammad Anwarul Azim, Abu Nowshed Chy, Md Zia Ullah and Mohammad Khairul Islam |
pp. 433‑440 |
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Measuring How (Not Just Whether) VLMs Build Common Ground Saki Imai, Mert Inan, Anthony B. Sicilia and Malihe Alikhani |
pp. 441‑451 |
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SiLVERScore: Semantically-Aware Embeddings for Sign Language Generation Evaluation Saki Imai, Mert Inan, Anthony B. Sicilia and Malihe Alikhani |
pp. 452‑461 |
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Alignment of Historical Manuscript Transcriptions and Translations Maarten Janssen, Piroska Lendvai and Anna Jouravel |
pp. 462‑470 |
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Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil Nevidu Jayatilleke and Nisansa de Silva |
pp. 471‑480 |
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Detecting Gender Stereotypical Language Using Model-agnostic and Model-specific Explanations Manuela Nayantara Jeyaraj and Sarah Jane Delany |
pp. 481‑490 |
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Reversing Causal Assumptions: Explainability in Online Sports Dialogues Asteria Kaeberlein and Malihe Alikhani |
pp. 491‑500 |
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How LLMs Influence Perceived Bias in Journalism Asteria Kaeberlein and Malihe Alikhani |
pp. 501‑510 |
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Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes Mahammed Kamruzzaman and Gene Louis Kim |
pp. 511‑520 |
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Performance Gaps in Acted and Naturalistic Speech: Insights from Speech Emotion Recognition Strategies on Customer Service Calls Lily Kawaoto, Hita Gupta, Ning Yu and Daniel Dakota |
pp. 521‑530 |
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Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection Arefeh Kazemi, Sri Balaaji Natarajan Kalaivendan, Joachim Wagner, Hamza Qadeer, Kanishk Verma and Brian Davis |
pp. 531‑540 |
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FreeTxt: Analyse and Visualise Multilingual Qualitative Survey Data for Cultural Heritage Sites Nouran Khallaf, Ignatius Ezeani, Dawn Knight, Paul Rayson, Mo El-Haj, John Vidler, James Davies and Fernando Alva-Manchego |
pp. 541‑545 |
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GPT-Based Lexical Simplification for Multi-Word Expressions Using Prompt Engineering Sardar Khan Khayamkhani and Matthew Shardlow |
pp. 546‑556 |
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Instruction-Tuning LLaMA for Synthetic Medical Note Generation in Swedish and English Lotta Kiefer, Jesujoba Alabi, Thomas Vakili, Hercules Dalianis and Dietrich Klakow |
pp. 557‑566 |
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Output Trend Analysis in Semantic Classification of Katakana Words Using a Large Language Model Kazuki Kodaki and Minoru Sasaki |
pp. 567‑571 |
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Domain Knowledge Distillation for Multilingual Sentence Encoders in Cross-lingual Sentence Similarity Estimation Risa Kondo, Hiroki Yamauchi, Tomoyuki Kajiwara, Marie Katsurai and Takashi Ninomiya |
pp. 572‑577 |
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Am I Blue or Is My Hobby Counting the Teardrops? Expression Leakage in Large Language Models as a Symptom of Irrelevancy Disruption Berkay Kopru, Mehrzad Mashal, Yigit Gurses, Akos Kadar, Maximilian Schmitt, Ditty Mathew, Felix Burkhardt, Florian Eyben and Björn W. Schuller |
pp. 578‑586 |
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Fusion of Object-Centric and Linguistic Features for Domain-Adapted Multimodal Learning Jordan Konstantinov Kralev |
pp. 587‑594 |
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Multi-Agent Reinforcement Learning for Interactive Code Debugging with Human Feedback and Memory Anjana Krishnamoorthy, Kartik Ivatury and Benyamin Ahmadnia |
pp. 595‑603 |
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Integrating Large Language Models for Comprehensive Study and Sentiment Analysis of Student Feedback Jana Kuzmanova, Katerina Zdravkova and Ivan Chorbev |
pp. 604‑613 |
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Task-Oriented Dialogue Systems through Function Calling Tiziano Labruna, Giovanni Bonetta and Bernardo Magnini |
pp. 614‑622 |
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When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively Tiziano Labruna, Jon Ander Campos and Gorka Azkune |
pp. 623‑632 |
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Trust but Verify: A Comprehensive Survey of Faithfulness Evaluation Methods in Abstractive Text Summarization Salima Lamsiyah, Aria Nourbakhsh and Christoph Schommer |
pp. 633‑643 |
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Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts Frances Adriana Laureano De Leon, Asim Abbas, Harish Tayyar Madabushi and Mark Lee |
pp. 644‑653 |
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Instruction Finetuning to Attribute Language Stage, Dialect, and Provenance Region to Historical Church Slavic Texts Piroska Lendvai, Uwe Reichel, Anna Jouravel, Achim Rabus and Elena Renje |
pp. 654‑662 |
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MariATE: Automatic Term Extraction Using Large Language Models in the Maritime Domain Shijie Liu, Els Lefever and Veronique Hoste |
pp. 663‑673 |
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Exploring the Usage of Knowledge Graphs in Identifying Human and LLM-Generated Fake Reviews Ming Liu and Massimo Poesio |
pp. 674‑681 |
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The Evaluation of Medical Terms Complexity Using Lexical Features and Large Language Models Liliya Makhmutova, Giancarlo Dondoni Salton, Fernando Perez-Tellez and Robert J. Ross |
pp. 682‑693 |
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Where and How as Key Factors for Knowledge-Enhanced Constrained Commonsense Generation Ivan Martinez-Murillo, Paloma Moreda Pozo and Elena Lloret |
pp. 694‑703 |
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Forecasting Online Negativity Spikes with Multilingual Transformers for Strategic Decision-Making Rowan Martnishn, Vishal Green, Varun Kadari, Shravan Athikinasetti, Zach miller, Julia Brady, Viraj Chawda and Nikhil Badlani |
pp. 704‑710 |
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C-SHAP: Collocation-Aware Explanations for Financial NLP Martina Menzio, Elisabetta Fersini and Davide Paris |
pp. 711‑717 |
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Investigating Polarization in YouTube Comments via Aspect-Based Sentiment Analysis Daniel Miehling, Daniel Dakota and Sandra Kübler |
pp. 718‑728 |
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From the Tractatus Logico-Philosophicus to Later Wittgenstein: An NLP-Based Comparative Analysis Andreiana Mihail, Silviu-Florin Gheorghe, Andrei Fotea and Liviu P. Dinu |
pp. 729‑736 |
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Towards Intention-aligned Reviews Summarization: Enhancing LLM Outputs with Pragmatic Cues Maria Miro Maestre, Robiert Sepulveda-Torres, Ernesto Luis Estevanell-Valladares, Armando Suarez Cueto and Elena Lloret |
pp. 737‑747 |
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Subtle Shifts, Significant Threats: Leveraging XAI Methods and LLMs to Undermine Language Models Robustness Adrián Moreno Muñoz, L. Alfonso Ureñ-López and Eugenio Martínez Cámara |
pp. 748‑757 |
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Fast Thinking with Structured Prompts: Enabling LLM Reasoning without Chain-of-Thought Generation Kirill Morozov, Liubov Chubarova and Irina Piontkovskaya |
pp. 758‑766 |
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T2Know: Analysis and Trend Platform Using the Knowledge Extracted from Scientific Texts Rafael Muñoz Guillena, Manuel Palomar, Yoan Gutiérrez and Mar Bonora |
pp. 767‑770 |
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Investigating Large Language Models’ (LLMs) Capabilities for Sexism Detection on a Low-Resource Language Lutfiye Seda Mut Altin and Horacio Saggion |
pp. 771‑779 |
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PolyHope-M at RANLP2025 Subtask-1 Binary Hope Speech Detection: Spanish Language Classification Approach with Comprehensive Learning Using Transformer, and Traditional ML, and DL Md. Julkar Naeen, Sourav Kumar Das, Sharun Akter Khushbu, Shahriar Sultan Ramit and Alaya Parven Alo |
pp. 780‑786 |
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F-LoRA-QA: Finetuning LLaMA Models with Low-Rank Adaptation for French Botanical Question Generation and Answering Ayoub Nainia, Régine Vignes-Lebbe, Hajar Mousannif and Jihad Zahir |
pp. 787‑796 |
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Reverse Prompting: A Novel Computational Paradigm in Schizophrenia Based on Large Language Models Ivan Nenchev, Christiane Montag and Sandra Anna Just |
pp. 797‑806 |
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A Survey on Small Language Models Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow3, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan Rossi and Thien Huu Nguyen |
pp. 807‑821 |
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Quantifying the Overlap: Attribution Maps and Linguistic Heuristics in Encoder-Decoder Machine Translation Models Aria Nourbakhsh, Salima Lamsiyah and Christoph Schommer |
pp. 822‑831 |
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The Illusion of a Perfect Metric: Why Evaluating AI´S Words Is Harder than It Looks Maria Paz Oliva, Adriana D. Correia, Ivan Vankov and Viktor Botev |
pp. 832‑842 |
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Multi-LLM Debiasing Framework Deonna M. Owens, Ryan Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy and Nedim Lipka |
pp. 843‑853 |
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Toward Quantum-Enhanced Natural Language Understanding: Sarcasm and Claim Detection with QLSTM Pritam Pal and Dipankar Das |
pp. 854‑859 |
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Legal Terminology Extraction in Spanish: Gold-standard Generation and LLM Evaluation Lucia Palacios Palacios, Beatriz Guerrero García, Patricia Martín Chozas and Elena Montiel Ponsoda |
pp. 860‑869 |
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Benchmarking Item Difficulty Classification in German Vocational Education and Training Alonso Palomino and Benjamin Paassen |
pp. 870‑875 |
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Isolating LLM Performance Gains in Pre-training versus Instruction-tuning for Mid-resource Languages: The Ukrainian Benchmark Study Yurii Paniv |
pp. 876‑883 |
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Evaluating LLMs on Deceptive Text across Cultures Katerina Papantoniou, Panagiotis Papadakos and Dimitris Plexousakis |
pp. 884‑893 |
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Annotating Hate Speech towards Identity Groups Donnie Parent, Nina Georgiades, Charvi Mishra, Khaled Mohammed and Sandra Kübler |
pp. 894‑899 |
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On the Interaction of Identity Hate Classification and Data Bias Donnie Parent, Nina Georgiades, Charvi Mishra, Khaled Mohammed and Sandra Kübler |
pp. 900‑906 |
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Financial News as a Proxy of European Central Bank Interest Rate Adjustments Davide Paris, Martina Menzio and Elisabetta Fersini |
pp. 907‑914 |
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Generating and Analyzing Disfluency in a Code-Mixed Setting Aryan Paul, Tapabrata Mondal, Dipankar Das and Sivaji Bandyopadhyay |
pp. 915‑924 |
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A Low-Resource Speech-Driven NLP Pipeline for Sinhala Dyslexia Assistance Peshala Sandali Perera and Deshan Koshala Sumanathilaka |
pp. 925‑933 |
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Evaluating Transliteration Ambiguity in Adhoc Romanized Sinhala: A Dataset for Transliteration Disambiguation Sandun Sameera Perera and Deshan Koshala Sumanathilaka |
pp. 934‑942 |
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Detecting Deception in Disinformation across Languages: The Role of Linguistic Markers Alba Perez-Montero, Silvia Gargova, Elena Lloret and Paloma Moreda Pozo |
pp. 943‑952 |
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Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision Dimitar Peshevski, Kiril Blazhevski, Martin Popovski and Gjorgji Madjarov |
pp. 953‑961 |
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Q&A-LF : A French Question-Answering Benchmark for Measuring Fine-Grained Lexical Knowledge Alexander Petrov, Alessandra Thais Mancas, Viviane Binet, Antoine Venant, Francois Lareau, Yves Lepage and Phillippe Langlais |
pp. 962‑969 |
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Analysis of Vocabulary and Subword Tokenization Settings for Optimal Fine-tuning of MT: A Case Study of In-domain Translation Javad Pourmostafa Roshan Sharami, Dimitar Shterionov and Pieter Spronck |
pp. 970‑979 |
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LLM-based Embedders for Prior Case Retrieval Damith Premasiri, Tharindu Ranasinghe and Ruslan Mitkov |
pp. 980‑988 |
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Exploiting Primacy Effect to Improve Large Language Models Bianca Raimondi and Maurizio Gabbrielli |
pp. 989‑997 |
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Alankaar: A Dataset for Figurativeness Understanding in Bangla Geetanjali Rakshit and Jeffrey Flanigan |
pp. 998‑1002 |
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ASQ: Automatically Generating Question-Answer Pairs Using AMRs Geetanjali Rakshit and Jeffrey Flanigan |
pp. 1003‑1011 |
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Multi-LLM Verification for Question Answering under Conflicting Contexts Geetanjali Rakshit and Jeffrey Flanigan |
pp. 1012‑1021 |
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Comparative Analysis of Human and Large Language Model Performance in Pharmacology Multiple-Choice Questions Ricardo Rodriguez, Stéphane Huet, Benoit Favre and Mickael Rouvier |
pp. 1022‑1029 |
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Enhancing Textual Understanding: Automated Claim Span Identification in English, Hindi, Bengali, and CodeMix Rudra Roy, Pritam Pal, Dipankar Das, Saptarshi Ghosh and Biswajit Paul |
pp. 1030‑1035 |
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Detecting Fake News in the Era of Language Models Muhammad Irfan Fikri Sabri, Hansi Hettiarachchi and Tharindu Ranasinghe |
pp. 1036‑1043 |
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Cyberbullying Detection via Aggression-Enhanced Prompting Aisha Saeid, Anu Sabu, Girish Koushik, Ferrante Neri and Diptesh Kanojia |
pp. 1044‑1052 |
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Lingdex.org:Leveraging LLMs to Structure and Explore Linguistic Olympiad Puzzles for Learning and Teaching Linguistics Jonathan Sakunkoo and Annabella Sakunkoo |
pp. 1053‑1057 |
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When Does Language Transfer Help? Sequential Fine-Tuning for Cross-Lingual Euphemism Detection Julia Sammartino, Libby Barak, Jing Peng and Anna Feldman |
pp. 1058‑1065 |
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Modelling the Relative Contributions of Stylistic Features in Forensic Authorship Attribution G. Çağatay Sat, John Blake and Evgeny Pyshkin |
pp. 1066‑1073 |
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The Hidden Cost of Structure: How Constrained Decoding Affects Language Model Performance Maximilian Schall and Gerard de Melo |
pp. 1074‑1084 |
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A Question-Answering Based Framework/Metric for Evaluation of Newspaper Article Summarization Vasanth Seemakurthy, Shashank Sundar, Siddharth Arvind, Siddhant Jagdish and Ashwini M. Joshi |
pp. 1085‑1089 |
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Efficient Financial Fraud Detection on Mobile Devices Using Lightweight Large Language Models Lakpriya Senevirathna and Deshan Koshala Sumanathilaka |
pp. 1090‑1098 |
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Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems Lia Shahnazaryan, Patrick Simianer and Joern Wuebker |
pp. 1099‑1108 |
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Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection against LLM-Generated Threats Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee, Mostafa Musharrat and Sai Vishnu Vamsi Senagasetty |
pp. 1109‑1117 |
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The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas after Iterative Paraphrasing? Sadat Shahriar, Navid Ayoobi and Arjun Mukherjee |
pp. 1118‑1126 |
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Deep Language Geometry: Constructing a Metric Space from LLM Weights Maksym Shamrai and Vladyslav Hamolia |
pp. 1127‑1136 |
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Cross-Lingual Fact Verification: Analyzing LLM Performance Patterns across Languages Hanna Shcharbakova, Tatiana Anikina, Natalia Skachkova and Josef van Genabith |
pp. 1137‑1147 |
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ESAQueryRank: Ranking Query Interpretations for Document Retrieval Using Explicit Semantic Analysis Avijeet Shil and Wei Jin |
pp. 1148‑1152 |
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Personalized Author Obfuscation with Large Language Models Mohammad Shokri, Sarah Ita Levitan and Rivka Levitan |
pp. 1153‑1162 |
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Bulgarian Event Extraction with LLMs Kiril Simov, Nikolay Paev, Petya Osenova and Stefan Marinov |
pp. 1163‑1171 |
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FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback Ashish Singh, Ashutosh Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Soares Bursztyn, Nesreen K. Ahmed, Puneet Mathur, Erik Learned-Miller, Franck Dernoncourt and Ryan Rossi |
pp. 1172‑1182 |
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LLM Compression: How Far Can We Go in Balancing Size and Performance? Sahil Sk, Debashish Dhal, Sonal Khosla, Akash Dhaka, Shantipriya Parida, Sk Shahid, Sambit Shekhar, Dilip Prasad and Ondrej Bojar |
pp. 1183‑1187 |
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Pushing the (Generative) Envelope: Measuring the Effect of Prompt Technique and Temperature on the Generation of Model-based Systems Engineering Artifacts Erin Smith Crabb, Cedric Bernard, Matthew Jones and Daniel Dakota |
pp. 1188‑1194 |
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Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch Elza Strazda and Gerasimos Spanakis |
pp. 1195‑1204 |
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The Challenge of Performing Ontology-driven Entity Extraction in Real-world Unstructured Textual Data from the Domain of Dementia Sumaiya Suravee, Carsten Oliver Schmidt and Kristina Yordanova |
pp. 1205‑1214 |
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Recognizing the Structure and Content of Hungarian Civil Registers Kata Ágnes Szűcs, Noémi Vadász and Zsolt Béla Záros |
pp. 1215‑1223 |
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Optimism, Pessimism, and the Language between: Model Interpretability and Psycholinguistic Profiling Stefana Arina Tabusca and Liviu P. Dinu |
pp. 1224‑1231 |
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Demographic Features for Annotation-Aware Classification Narjes Tahaei and Sabine Bergler |
pp. 1232‑1236 |
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Exploring the Performance of Large Language Models for Event Detection and Extraction in the Health Domain Hristo Tanev, Nicolas Stefanovitch, Tomáš Harmatha and Diana F. Sousa |
pp. 1237‑1247 |
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Leveraging LLaMa for Abstractive Text Summarisation in Malayalam: An Experimental Study Hristo Tanev, Anitha S. Pillai and Revathy V. R |
pp. 1248‑1255 |
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Building a Clean Bartangi Language Corpus and Training Word Embeddings for Low-Resource Language Modeling Warda Tariq, Victor Popov and Vasilii Gromov |
pp. 1256‑1262 |
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A Deep Dive into Multi-Head Attention and Multi-Aspect Embedding Maryam Teimouri, Jenna Kanerva and Filip Ginter |
pp. 1263‑1270 |
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A Linguistically-informed Comparison between Multilingual BERT and Language-specific BERT Models: The Case of Differential Object Marking in Romanian Maria Tepei and Jelke Bloem |
pp. 1271‑1281 |
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PoliStance-TR: A Dataset for Turkish Stance Detection in Political Domain Muhammed Cihat Unal, Yasemin Sarkın, Alper Karamanlioglu and Berkan Demirel |
pp. 1282‑1288 |
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Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification Natalia Vanetik, Lior Liberov, Marina Litvak and Chaya Liebeskind |
pp. 1289‑1298 |
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AIDEN: Automatic Speaker Notes Creation and Navigation for Enhancing Online Learning Experience Stalin Varanasi, Umer Butt, Guenter Neumann and Josef van Genabith |
pp. 1299‑1303 |
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Using LLMs for Multilingual Clinical Entity Linking to ICD-10 Sylvia Vassileva, Ivan K. Koychev and Svetla Boytcheva |
pp. 1304‑1308 |
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Aspect–Sentiment Quad Prediction with Distilled Large Language Models Filippos Karolos Ventirozos, Peter Appleby and Matthew Shardlow |
pp. 1309‑1319 |
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SENTimental - a Simple Multilingual Sentiment Annotation Tool John Vidler, Paul Rayson and Dawn Knight |
pp. 1320‑1326 |
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Anonymise: A Tool for Multilingual Document Pseudonymisation Rinalds Vīksna and Inguna Skadina |
pp. 1327‑1332 |
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Revealing Gender Bias in Language Models through Fashion Image Captioning Maria Villalba-Oses, Victoria Muñoz-Garcia and Juan Pablo Consuegra-Ayala |
pp. 1333‑1340 |
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Benchmarking Korean Idiom Understanding: A Comparative Analysis of Local and Global Models Xiaonan Wang, Seoyoon Park and Hansaem Kim |
pp. 1341‑1351 |
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TinyMentalLLMs Enable Depression Detection in Chinese Social Media Texts JINYUAN XU, Tian LAN, Mathieu Valette, Pierre Magistry and LEI LI |
pp. 1352‑1363 |
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Prompt Engineering for Nepali NER: Leveraging Hindi-Capable LLMs for Low-Resource Languages Dipendra Yadav, Sumaiya Suravee, Stefan Kemnitz, Tobias Strauss and Kristina Yordanova |
pp. 1364‑1373 |
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Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media Shakib Yazdani, Yasser HAMIDULLAH, Cristina España-Bonet and Josef van Genabith |
pp. 1374‑1384 |
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Visual Priming Effect on Large-scale Vision Language Models Daiki Yoshida, Haruki Sakajo, Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe |
pp. 1385‑1395 |
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From Courtroom to Corpora: Building a Name Entity Corpus for Urdu Legal Texts Adeel Zafar, Sohail Ashraf and Slawomir Nowaczyk |
pp. 1396‑1405 |
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EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic Wajdi Zaghouani and Md. Rafiul Biswas |
pp. 1406‑1412 |
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An Annotated Corpus of Arabic Tweets for Hate Speech Analysis Wajdi Zaghouani and Md. Rafiul Biswas |
pp. 1413‑1419 |
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Strategies for Efficient Retrieval-augmented Generation in Clinical Domains with RAPTOR: A Benchmarking Study Xumou Zhang, Qixuan Hu, Jinman Kim and Adam G. Dunn |
pp. 1420‑1429 |
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LLM-Based Product Recommendation with Prospect Theoretic Self Alignment Strategy Manying Zhang, Zehua Cheng and Damien Nouvel |
pp. 1430‑1436 |
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Branching Out: Exploration of Chinese Dependency Parsing with Fine-tuned Large Language Models He Zhou, Emmanuele Chersoni and Yu-Yin Hsu |
pp. 1437‑1445 |
Last modified on December 15, 2025, 6:55 a.m.