Auto-Evolve: Enhancing Large Language Model’s Performance via Self-Reasoning Frameworkby Krishna Aswani, Huilin Lu, Pranav Patankar,…
Leveraging free energy in pretraining model selection for improved fine-tuningby Michael Munn, Susan WeiFirst submitted…
Contrastive Learning to Improve Retrieval for Real-world Fact Checkingby Aniruddh Sriram, Fangyuan Xu, Eunsol Choi,…
Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Modelsby Xinyuan Wang, Haozhou…
Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs)by Abrar Rahman, Garry Bowlin, Binit…
GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model…
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videosby Jianrui Zhang, Mu Cai, Yong…
Heuristics and Biases in AI Decision-Making: Implications for Responsible AGIby Payam Saeedi, Mahsa Goodarzi, M…
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Lifeby Yu Ying Chiu, Liwei…
Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generationby Rohin Manvi,…