1 citations · 2 across the 4 of their papers we have counts for
4 papers
GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
Weidong Tang, Jierui Li, Yueling Hou +7
True general intelligence requires not only a model of the physical world but also a social world model: the capacity to infer how individual mental states interact and crystallize…
AlgoSimBench: Identifying Algorithmically Similar Problems for Competitive Programming
Jierui Li, Raymond Mooney
Recent reasoning-enhanced Large Language Models (LLMs) have achieved promising results in solving complex competitive programming problems. However, it remains unclear whether thes…
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Jierui Li, Hung Le, Yingbo Zhou +3
Pre-trained on massive amounts of code and text data, large language models (LLMs) have demonstrated remarkable achievements in performing code generation tasks. With additional ex…
Distilling Algorithmic Reasoning from LLMs via Explaining Solution Programs
Jierui Li, Raymond Mooney
Distilling explicit chain-of-thought reasoning paths has emerged as an effective method for improving the reasoning abilities of large language models (LLMs) across various tasks.…