2 citations · 2 across the 4 of their papers we have counts for
6 papers
EGIP: An Evidence-Grounded Interaction Protocol for Clinical Agents
Zecheng Ren, Ruichen Cong, Yi Min Chen +8
Interactive clinical agents acquire evidence through patient dialogue and diagnostic examinations, yet their performance also depends on how the interaction environment exposes inf…
Learning from Unverified Peers via Shared Residual Distillation
Feiyang Chen, Runze Ma, Zichen Wang +4
A language model can generate several solutions to the same problem, some leading to correct answers and others to incorrect ones. Many post-training methods turn these trajectorie…
KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing
Siyu Jiang, Feiyang Chen, Xiaojin Zhang +1
Despite the significant progress of Multimodal Large Language Models (MLLMs) across diverse tasks, hallucination -- corresponding to the generation of visually inconsistent objects…
TLSQL: Table Learning Structured Query Language
Feiyang Chen, Ken Zhong, Aoqian Zhang +3
Table learning has recently emerged as an important paradigm at the intersection of database systems and machine learning. However, applying table learning in practice often requir…
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Yixin Song, Zhenliang Xue, Dongliang Wei +11
While frontier large language models (LLMs) continue to push capability boundaries, their deployment remains confined to GPU-powered cloud infrastructure. We challenge this paradig…
Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction
Suma Bailis, Jane Friedhoff, Feiyang Chen
This paper introduces Werewolf Arena, a novel framework for evaluating large language models (LLMs) through the lens of the classic social deduction game, Werewolf. In Werewolf Are…