activity
20232026
most citedGentopia: A Collaborative Platform for Tool-Augmented LLMs

7 citations · 14 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

PeerMathDial: A Middle School Dialogue Dataset for Student Collaborative Math Problem Solving

Murong Yue, Desmond Alexander Mcglone, Emily Slutz +4

Collaborative Problem Solving (CPS) is a core skill in education, where the process of peer interaction is highly important. However, existing educational dialogue datasets mostly…

cs.CL2025

ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning

Murong Yue, Zhiwei Liu, Liangwei Yang +8

Large Language Models (LLMs) equipped with external tools have demonstrated enhanced performance on complex reasoning tasks. The widespread adoption of this tool-augmented reasonin…

cs.CL2025

Can LLMs Simulate Personas with Reversed Performance? A Systematic Investigation for Counterfactual Instruction Following in Math Reasoning Context

Sai Adith Senthil Kumar, Hao Yan, Saipavan Perepa +2

Large Language Models (LLMs) are now increasingly widely used to simulate personas in virtual environments, leveraging their instruction-following capability. However, we discovere…

cs.CL2025

A Survey of Large Language Model Agents for Question Answering

Murong Yue

This paper surveys the development of large language model (LLM)-based agents for question answering (QA). Traditional agents face significant limitations, including substantial da…

cs.CL20245 cited

MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education

Murong Yue, Wenhan Lyu, Jennifer Suh +2

Collaborative problem solving (CPS) is essential in mathematics education, fostering deeper learning through the exchange of ideas. Yet, classrooms often lack the resources, time,…

cs.CL2023

Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization

Min Zhang, Jianfeng He, Shuo Lei +3

The meaning of complex phrases in natural language is composed of their individual components. The task of compositional generalization evaluates a model's ability to understand ne…