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