1 citations · 2 across the 4 of their papers we have counts for
4 papers
Fostering Video Reasoning via Next-Event Prediction
Haonan Wang, Hongfu Liu, Xiangyan Liu +4
Next-token prediction serves as the foundational learning task enabling reasoning in LLMs. But what should the learning task be when aiming to equip MLLMs with temporal reasoning c…
On Calibration of LLM-based Guard Models for Reliable Content Moderation
Hongfu Liu, Hengguan Huang, Xiangming Gu +2
Large language models (LLMs) pose significant risks due to the potential for generating harmful content or users attempting to evade guardrails. Existing studies have developed LLM…
Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
Hao Wang, Ye Wang, Xiangyu Yang
This paper considers the problem of minimizing the sum of a smooth function and the Schatten- norm of the matrix. Our contribution involves proposing accelerated iteratively rew…
Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset
Hengguan Huang, Songtao Wang, Hongfu Liu +2
Traditional applications of natural language processing (NLP) in healthcare have predominantly focused on patient-centered services, enhancing patient interactions and care deliver…