#large language model agents
12 papers · 1 filter
Vibe-FDTR: An agent-oriented framework for reproducible frequency-domain thermoreflectance data analysis
Fuwei Yang, Weiheng Li, Bai Song
The paper introduces Vibe-FDTR, an agent-oriented framework that uses large language model agents to automatically and reproducibly analyze frequency-domain thermoreflectance data…
MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent Memory
Hanshuai Cui, Zhiqing Tang, Zhi Yao +3
MemTxn is a governance layer for large language model agents that adds a transaction boundary to verify source-supported memory updates, resolve conflicting facts, and recover a co…
CLVisc Agent for autonomous relativistic hydrodynamics studies
Qi Wang, Long-Gang Pang, Shi Pu +1
The paper presents a large language model agent that can autonomously run and analyze relativistic hydrodynamic simulations of quark‑gluon plasma in heavy‑ion collisions, including…
ExplainBench: Evaluating Code Explanations from Agents
Zhiyuan Pan, Sungmin Kang, Imam Nur Bani Yusuf +1
The paper introduces ExplainBench, a benchmark that automatically evaluates how trustworthy the explanations generated by code‑writing LLM agents are, by checking if the explanatio…
Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents
Dylan Van Mulders, Matthias Bogaert, Dirk Van den Poel
The paper presents a multi‑agent framework that uses fine‑tuned large language models with retrieval‑augmented generation to simulate partisan coalition negotiations and introduces…
Experience Memory Graph: One-Shot Error Correction for Agents
Wenjun Wang, Yuchen Fang, Fengrui Liu +2
The paper introduces Experience Memory Graph (EMG), a method that uses graph matching between failed and successful trajectories to provide one-shot error correction for large lang…