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arXiv 2610.25950 · cs.CL · 2026-10-19

AdaExploreBench: Benchmarking LLM Agents for Proactive Exploration and Test-time Adaptation in Evolving Environments

Rui Wang, Zishen Lai, Jiayu Liu, Cheng Qian, Jeonghwan Kim, Heng Wang, Xuejun Zhang, Jiateng Liu and 10 more

HKUST

In latest · #296 Added on 2026-10-22

One-line takeaway

AdaExploreBench uses hidden, silently drifting rules to test whether LLM agents proactively explore and adapt at test time.

AdaExploreBench 用隐藏且会悄悄变化的规则,测试智能体能否主动探索并在测试时自我调整。

28HF upvotes
3GitHub stars
0Citations (Semantic Scholar)
38.8Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)