most citedOdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

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cs.AI2025

Simulating Environments with Reasoning Models for Agent Training

Yuetai Li, Huseyin A Inan, Xiang Yue +6

LLM agents excel in compact environments requiring deep reasoning but remain brittle when operating in broader, more complex contexts that demand robustness across diverse tools an…

cs.AI2025

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

Dongge Han, Camille Couturier, Daniel Madrigal Diaz +3

We introduce LEGOMem, a modular procedural memory framework for multi-agent large language model (LLM) systems in workflow automation. LEGOMem decomposes past task trajectories int…