3 papers
cs.CV2025
SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding
Chang-Hsun Wu, Kai-Po Chang, Yu-Yang Sheng +3
Video Large Language Models (VideoLLMs) have shown remarkable progress in video understanding. However, these models still struggle to effectively perceive and exploit rich tempora…
cs.CV2025
LEAML: Label-Efficient Adaptation to Out-of-Distribution Visual Tasks for Multimodal Large Language Models
Ci-Siang Lin, Min-Hung Chen, Yu-Yang Sheng +1
Multimodal Large Language Models (MLLMs) have achieved strong performance on general visual benchmarks but struggle with out-of-distribution (OOD) tasks in specialized domains such…
cs.CL2025
Harnessing RLHF for Robust Unanswerability Recognition and Trustworthy Response Generation in LLMs
Shuyuan Lin, Lei Duan, Philip Hughes +1
Conversational Information Retrieval (CIR) systems, while offering intuitive access to information, face a significant challenge: reliably handling unanswerable questions to preven…