agent/papers/items/2025-2511-04847-test-time-adaptation-for-llm-agents-via-environment-interaction.md

Paper: Test-Time Adaptation for LLM Agents via Environment Interaction

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type: paper title: Test-Time Adaptation for LLM Agents via Environment Interaction authors: Arthur Chen, Zuxin Liu, Jianguo Zhang, Akshara Prabhakar, Zhiwei Liu, Shelby Heinecke, Silvio Savarese, Victor Zhong, et al. year: 2025 venue: arXiv url: https://arxiv.org/abs/2511.04847 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-11-06 updated_at: 2026-02-22 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• embodied-agent
• rag
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: function-calling

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, agent-safety, embodied-agent, rag, tool-use, world-model
• arXiv categories: cs.LG
• collection score: 18

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2511.04847