1 citations · 1 across the 1 of their papers we have counts for
4 papers
MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
Gengliang Li, Rongyu Chen, Bin Li +2
Ensuring factual consistency and reliable reasoning remains a critical challenge for medical vision-language models. We introduce MEDFACT-R1, a two-stage framework that integrates…
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
Yining Huang, Bin Li, Keke Tang +1
Large-scale generative models like DeepSeek-R1 and OpenAI-O1 benefit substantially from chain-of-thought (CoT) reasoning, yet pushing their performance typically requires vast data…
Boosting Large Language Models for Mental Manipulation Detection via Data Augmentation and Distillation
Yuansheng Gao, Peng Gao, Han Bao +4
Mental manipulation on social media poses a covert yet serious threat to individuals' psychological well-being and the integrity of online interactions. Detecting such behavior is…
Learning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization
Zhibin Wen, Bin Li
The goal of Multilingual Visual Answer Localization (MVAL) is to locate a video segment that answers a given multilingual question. Existing methods either focus solely on visual m…