Papers
CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering
Shubham Agarwal, Thomas Searle, Kawsar Noor et al.
SzegedAI at ArchEHR-QA 2025: Combining LLMs with traditional methods for grounded question answering
Soma Nagy, Bálint Nyerges, Zsombor Kispéter et al.
LIMICS at ArchEHR-QA 2025: Prompting LLMs Beats Fine-Tuned Embeddings
Adam Remaki, Armand Violle, Vikram Natraj et al.
DKITNLP at ArchEHR-QA 2025: A Retrieval Augmented LLM Pipeline for Evidence-Based Patient Question Answering
Provia Kadusabe, Abhishek Kaushik, Fiona Lawless
BDA-UC3M @ BioLaySumm: Efficient Lay Summarization with Small-Scale SoTA LLMs
Ilyass Ramzi, Isabel Bedmar
Team XSZ at BioLaySumm2025: Section-Wise Summarization, Retrieval-Augmented LLM, and Reinforcement Learning Fine-Tuning for Lay Summaries
Pengcheng Xu, Sicheng Shen, Jieli Zhou et al.
When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods
Miroslav Blšták, Jaroslav Kopčan, Marek Šuppa et al.
LLMs for Detection and Classification of Persuasion Techniques in Slavic Parliamentary Debates and Social Media Texts
Julia Jose, Rachel Greenstadt
Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task
Marcin Sawinski, Krzysztof Wecel, Ewelina Ksiezniak
Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research
Sougata Saha, Gaurab Sarkar
Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets
Francesca Grasso, Stefano Locci, Manfred Stede
Scaling Species Diversity Analysis in Carbon Credit Projects with Large-Context LLMs
Jessica Walkenhorst, Colin McCormick
HKCanto-Eval: A Benchmark for Evaluating Cantonese Language Understanding and Cultural Comprehension in LLMs
Tsz Chung Cheng, Chung Shing Cheng, Chaak-ming Lau et al.
Planning for Success: Exploring LLM Long-term Planning Capabilities in Table Understanding
Thi-Nhung Nguyen, Hoang Ngo, Dinh Phung et al.
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data
Ahatsham Hayat, Helen Martinez, Bilal Khan et al.
Evidence of Generative Syntax in LLMs
Mary Kennedy
Human-likeness of LLMs in the Mental Lexicon
Bei Xiao, Xufeng Duan, David A. Haslett et al.
Multilingual Symptom Detection on Social Media: Enhancing Health-related Fact-checking with LLMs
Saidah Zahrotul Jannah, Elyanah Aco, Shaowen Peng et al.
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
Juraj Vladika, Ihsan Soydemir, Florian Matthes
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
Yuji Zhang, Sha Li, Cheng Qian et al.
Gender Bias in Nepali-English Machine Translation: A Comparison of LLMs and Existing MT Systems
Supriya Khadka, Bijayan Bhattarai
Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation
Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro et al.
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
Elisa Forcada Rodríguez, Olatz Perez-de-Vinaspre, Jon Ander Campos et al.
Examining the Cultural Encoding of Gender Bias in LLMs for Low-Resourced African Languages
Abigail Oppong, Hellina Hailu Nigatu, Chinasa T. Okolo