1.2k citations · 2.6k across the 49 of their papers we have counts for
49 papers
PolyAlign: Conditional Human-Distribution Alignment
L. D. M. S. Sai Teja, Ufaq Khan, Sathira Silva +2
Post-training methods such as supervised fine-tuning (SFT) and preference optimization typically align language models toward a single global assistant behavior. While effective fo…
Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
Yiming Cui, Xin Yao, Yuxuan Qin +3
Multimodal scientific reasoning remains a significant challenge for large language models (LLMs), particularly in chemistry, where problem-solving relies on symbolic diagrams, mole…
ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
Xingqi Wang, Yiming Cui, Xin Yao +3
Large Vision-Language Models (LVLMs) have recently demonstrated remarkable progress, yet hallucination remains a critical barrier, particularly in chart understanding, which requir…
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang +4
Recently, research on open domain dialogue systems have attracted extensive interests of academic and industrial researchers. The goal of an open domain dialogue system is to imita…
Visualizing attention zones in machine reading comprehension models
Yiming Cui, Wei-Nan Zhang, Ting Liu
The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language…
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner
Jinglong Gao, Xiao Ding, Yiming Cui +4
To improve the performance of large language models (LLMs), researchers have explored providing LLMs with textual task-solving experience via prompts. However, they rely on manual…