Papers
The Impact of Language Mixing on Bilingual LLM Reasoning
Yihao Li, Jiayi Xin, Miranda Muqing Miao et al.
AccessEval: Benchmarking Disability Bias in Large Language Models
Srikant Panda, Amit Agarwal, Hitesh Laxmichand Patel
Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues
Jinfeng Zhou, Yuxuan Chen, Jianing Yin et al.
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
Byeongho Yu, Changhun Lee, Jun-gyu Jin et al.
Model-Based Ranking of Source Languages for Zero-Shot Cross-Lingual Transfer
Abteen Ebrahimi, Adam Wiemerslage, Katharina von der Wense
Group-Aware Reinforcement Learning for Output Diversity in Large Language Models
Oron Anschel, Alon Shoshan, Adam Botach et al.
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba et al.
VideoPASTA: 7K Preference Pairs That Matter for Video-LLM Alignment
Yogesh Kulkarni, Pooyan Fazli
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
Tong Chen, Zimu Wang, Yiyi Miao et al.
Extending Automatic Machine Translation Evaluation to Book-Length Documents
Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang et al.
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
Hazel Kim, Tom A. Lamb, Adel Bibi et al.
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Grgur Kovač, Jérémy Perez, Rémy Portelas et al.
ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
Matteo Bortoletto, Constantin Ruhdorfer, Andreas Bulling
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh et al.
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Maria Symeonaki et al.
Africa Health Check: Probing Cultural Bias in Medical LLMs
Charles Nimo, Shuheng Liu, Irfan Essa et al.
Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling
Zhenning Shi, Yijia Zhu, Yi Xie et al.
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
Kiana Aghakasiri, Noopur Zambare, JoAnn Thai et al.
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
Jing Yu, Yibo Zhao, Jiapeng Zhu et al.
Measuring scalar constructs in social science with LLMs
Hauke Licht, Rupak Sarkar, Patrick Y. Wu et al.
The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
Yu Fan, Yang Tian, Shauli Ravfogel et al.
How Persuasive Is Your Context?
Tu Nguyen, Kevin Du, Alexander Miserlis Hoyle et al.
EuroGEST: Investigating gender stereotypes in multilingual language models
Jacqueline Rowe, Mateusz Klimaszewski, Liane Guillou et al.
Rapid Word Learning Through Meta In-Context Learning
Wentao Wang, Guangyuan Jiang, Tal Linzen et al.
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
Yu Wang, Shiwan Zhao, Zhihu Wang et al.