repoGitHubTrust 82 · PrimaryPublished 4d agoLive · 4d ago
Yuqi-Zhou/LRAT
The implementation for SIGIR 2026: Learning to Retrieve from Agent Trajectories.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Implements
paperSelf-Evolving World Models for LLM Agent PlanningpaperLearning from Failure: Inference-Time Self-Improvement for Computer-Use AgentspaperSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentspaperControllable Sim Agents with Behavior Latents
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Implements (incoming)
Related across the graph
paperCurateEvo: Data-Curation Evolving for Agentic Post-TrainingpaperSelf-Evolving World Models for LLM Agent PlanningpaperControllable Sim Agents with Behavior LatentspaperSenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentspaperDemonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at ScalepaperLearning from Failure: Inference-Time Self-Improvement for Computer-Use AgentsarticleA field guide to AI agents in 2026paperDoomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade