1 citations · 1 across the 3 of their papers we have counts for
4 papers
Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
Ayan Antik Khan, Harsh Kohli, Yuekun Yao +2
Mechanistic interpretability has made substantial progress in automatically localizing circuits, but explaining what localized components do remains labor-intensive and difficult t…
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…
Designing AI Peers for Collaborative Mathematical Problem Solving with Middle School Students: A Participatory Design Study
Wenhan Lyu, Yimeng Wang, Murong Yue +5
Collaborative problem solving (CPS) is a fundamental practice in middle-school mathematics education; however, student groups frequently stall or struggle without ongoing teacher s…
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…