Chair: Dimitar Kazakov
- On the Limitations of Large Language Models (LLMs): False Attribution (Tosin Adewumi, Nudrat Habib, Lama Alkhaled and Elisa Barney)
- ESAQueryRank: Ranking Query Interpretations for Document Retrieval Using Explicit Semantic Analysis (Avijeet Shil and Wei Jin)
- Recognizing the Structure and Content of Hungarian Civil Registers (Kata Ágnes Szűcs, Noémi Vadász and Zsolt Béla Záros)
- Output Trend Analysis in Semantic Classification of Katakana Words Using a Large Language Model (Kazuki Kodaki and Minoru Sasaki)
- Exploiting Primacy Effect to Improve Large Language Models (Bianca Raimondi and Maurizio Gabbrielli)
- Comparative Analysis of Human and Large Language Model Performance in Pharmacology Multiple-Choice Questions (Ricardo Rodriguez, Stéphane Huet, Benoit Favre and Mickael Rouvier)
- Evaluating Bilingual Lexicon Induction without Lexical Data (Michaela Denisová and Pavel Rychly)
- 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)
- Integrating Large Language Models for Comprehensive Study and Sentiment Analysis of Student Feedback (Jana Kuzmanova, Katerina Zdravkova and Ivan Chorbev)
- Strategies for Efficient Retrieval-augmented Generation in Clinical Domains with RAPTOR: A Benchmarking Study (Xumou Zhang, Qixuan Hu, Jinman Kim and Adam G. Dunn)
- Legal Terminology Extraction in Spanish: Gold-standard Generation and LLM Evaluation (Lucia Palacios Palacios, Beatriz Guerrero García, Patricia Martín Chozas and Elena Montiel Ponsoda)
- PoliStance-TR: A Dataset for Turkish Stance Detection in Political Domain (Muhammed Cihat Unal, Yasemin Sarkın, Alper Karamanlioglu and Berkan Demirel)
- 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)
- Using LLMs for Multilingual Clinical Entity Linking to ICD-10 (Sylvia Vassileva, Ivan K. Koychev and Svetla Boytcheva)
- Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification (Natalia Vanetik, Lior Liberov, Marina Litvak and Chaya Liebeskind)
- Classifying Emotions in Tweets from the Financial Market: A BERT-based Approach (Wesley Pompeu Carvalho and Norton Trevisan Roman)
- Annotating Hate Speech towards Identity Groups (Donnie Parent, Nina Georgiades, Charvi Mishra, Khaled Mohammed and Sandra Kübler)
- On the Interaction of Identity Hate Classification and Data Bias (Donnie Parent, Nina Georgiades, Charvi Mishra, Khaled Mohammed and Sandra Kübler)
- 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)
- LLM-Based Product Recommendation with Prospect Theoretic Self Alignment Strategy (Manying Zhang, Zehua Cheng and Damien Nouvel)
- Multilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English–French and Finnish Translation (Benyamin Ahmadnia, Yeswanth Soma and Hossein Sarrafzadeh)
- Enhancing Textual Understanding: Automated Claim Span Identification in English, Hindi, Bengali, and CodeMix (Rudra Roy, Pritam Pal, Dipankar Das, Saptarshi Ghosh and Biswajit Paul)
- Toward Quantum-Enhanced Natural Language Understanding: Sarcasm and Claim Detection with QLSTM (Pritam Pal and Dipankar Das)
- Leveraging LLaMa for Abstractive Text Summarisation in Malayalam: An Experimental Study (Hristo Tanev, Anitha S. Pillai and Revathy V. R)
- EDAudio: Easy Data Augmentation for Dialectal Audio (Lea Fischbach, Akbar Karimi, Alfred Lameli and Lucie Flek)
- Lingdex.org:Leveraging LLMs to Structure and Explore Linguistic Olympiad Puzzles for Learning and Teaching Linguistics (Jonathan Sakunkoo and Annabella Sakunkoo)
- Arabic to Romanian Machine Translation: A Case Study on Distant Language Pairs (Ioan Alexandru Hirica, Stefana Arina Tabusca and Sergiu Nisioi)
- 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)
- 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)
- Detecting Changes in Mental Health Status via Reddit Posts in Response to Global Negative Events (Zenan Chen, Judita Preiss and Peter A. Bath)