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Autoguide: Automated generation and selection of context-aware guidelines for large language model agents

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

citation-role summary

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citation-polarity summary

years

2026 3 2024 1

verdicts

UNVERDICTED 4

roles

background 2

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background 2

representative citing papers

Agent Workflow Memory

cs.CL · 2024-09-11 · unverdicted · novelty 6.0

AWM induces reusable workflows from agent experiences and provides them selectively to improve success rates by 24.6% on Mind2Web and 51.1% on WebArena while reducing steps taken.

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

cs.LG · 2026-05-11 · unverdicted · novelty 5.0 · 2 refs

SLIM dynamically optimizes the active external skill set in agentic RL via leave-one-skill-out marginal contribution estimates and lifecycle operations, delivering a 7.1% average gain over baselines on ALFWorld and SearchQA while showing some skills remain externally useful.

citing papers explorer

Showing 4 of 4 citing papers.

  • Agent Workflow Memory cs.CL · 2024-09-11 · unverdicted · none · ref 41

    AWM induces reusable workflows from agent experiences and provides them selectively to improve success rates by 24.6% on Mind2Web and 51.1% on WebArena while reducing steps taken.

  • FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast cs.AI · 2026-05-15 · unverdicted · none · ref 5

    FORGE is a staged population protocol that evolves prompt-injected memory (Rules, Examples, or Mixed) for ReAct agents via reflection and broadcast, yielding 1.7-7.7× gains over zero-shot and 29-72% over Reflexion on CybORG CAGE-2.

  • Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cs.LG · 2026-05-11 · unverdicted · none · ref 13 · 2 links

    SLIM dynamically optimizes the active external skill set in agentic RL via leave-one-skill-out marginal contribution estimates and lifecycle operations, delivering a 7.1% average gain over baselines on ALFWorld and SearchQA while showing some skills remain externally useful.

  • A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cs.IR · 2026-05-08 · unverdicted · none · ref 79 · 3 links

    A survey that defines agent skills as reusable procedural artifacts and reviews methods, resources, and applications across their representation, acquisition, retrieval, and evolution stages.