activity
20232026
most citedMemento: Fine-tuning LLM Agents without Fine-tuning LLMs

2 citations · 3 across the 5 of their papers we have counts for

collaborators

7 papers

cs.SE2026

Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure Instead

Fengshuo Liu, Ying Liu, Ruize Sun +2

Small differences on coding-agent leaderboards are often read as an ordering of systems. We audit whether the published verdicts support this reading, using 254 SWE-bench submissio…

cs.MA2026

A Theory-Guided LLM Pedagogical Agent Supporting Open-Ended STEM+C Learning

Clayton Cohn, Surya Rayala, Siyuan Guo +13

Open-ended learning environments (OELEs) can support STEM+C (science, technology, engineering, mathematics, and computing) inquiry through activities such as computational modeling…

cs.AI2026

BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation

Hanchen David Wang, Clayton Cohn, Zifan Xu +3

Simulating student learning behaviors in open-ended problem-solving environments holds potential for education research, from training adaptive tutoring systems to stress-testing p…

cs.MA2026

Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents

Clayton Cohn, Siyuan Guo, Surya Rayala +11

LLMs offer tremendous opportunities for pedagogical agents to help students construct knowledge and develop problem-solving skills, yet many of these agents operate on a "one-size-…

cs.LG2026★ 1 cited

Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning

Jiayi Zhang, Conrad Borchers, Clayton Cohn +7

The field of learning analytics has made notable strides in automating the detection of complex learning processes in multimodal data. However, most advancements have focused on in…

cs.LG2025★ 2 cited

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Huichi Zhou, Yihang Chen, Siyuan Guo +8

In this paper, we introduce a novel learning paradigm for Adaptive Large Language Model (LLM) agents that eliminates the need for fine-tuning the underlying LLMs. Existing approach…

cs.CL2023

CausalCite: A Causal Formulation of Paper Citations

Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian +4

Citation count of a paper is a commonly used proxy for evaluating the significance of a paper in the scientific community. Yet citation measures are widely criticized for failing t…