Papers
Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia
Ankit Aich, Avery Quynh, Pamela Osseyi et al.
From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs
Zimu Wang, Hongbin Na, Rena Gao et al.
From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy
Adrianna Romanowski, Pedro H. V. Valois, Kazuhiro Fukui
SSNTrio@DravidianLangTech2025: LLM Based Techniques for Detection of Abusive Text Targeting Women
Mirnalinee T T, J Bhuvana, Avaneesh Koushik et al.
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
Hannah Cyberey, Yangfeng Ji, David Evans
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen et al.
Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation
Zhengxiang Wang, Jordan Kodner, Owen Rambow
Self Knowledge-Tracing for Tool Use (SKT-Tool): Helping LLM Agents Understand Their Capabilities in Tool Use
Joshua Vigel, Renpei Cai, Eleanor Chen et al.
Evaluating Robustness of LLMs to Numerical Variations in Mathematical Reasoning
Yuli Yang, Hiroaki Yamada, Takenobu Tokunaga
Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation
Bryan Li, Jiaming Luo, Eleftheria Briakou et al.
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
Shuguang Chen, Guang Lin
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs
Vibha Belavadi, Tushar Vatsa, Dewang Sultania et al.
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
Mirazul Haque, Petr Babkin, Farima Farmahinifarahani et al.
PROPEL: Prompt Optimization with Expert Priors for Small and Medium-sized LLMs
Kawin Mayilvaghanan, Varun Nathan, Ayush Kumar
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
Alexander Wuttke, Matthias Aßenmacher, Christopher Klamm et al.
Prompting the Past: Exploring Zero-Shot Learning for Named Entity Recognition in Historical Texts Using Prompt-Answering LLMs
Crina Tudor, Beata Megyesi, Robert Östling
Using LLMs to Advance Idiom Corpus Construction
Doğukan Arslan, Hüseyin Anıl Çakmak, Gülşen Eryiğit et al.
Assessing Crowdsourced Annotations with LLMs: Linguistic Certainty as a Proxy for Trustworthiness
Tianyi Li, Divya Sree, Tatiana Ringenberg
A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient
Yehor Tereshchenko, Mika Hämäläinen
VLG-BERT: Towards Better Interpretability in LLMs through Visual and Linguistic Grounding
Toufik Mechouma, Ismail Biskri, Serge Robert
A Comprehensive Evaluation of Cognitive Biases in LLMs
Simon Malberg, Roman Poletukhin, Carolin M. Schuster et al.
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
Lynn Greschner, Roman Klinger