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

Large Language Model (LLM) agents are increasingly deployed in unfamiliar and evolving environments, requiring them to proactively explore, understand, and adapt to environmental dynamics. However, ex

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–Rank now
#7Best rank
–Score · 24h
151Score · 7d
2Days on list
11Snapshots
Oct 20, 2026First seen

Summary

AdaExploreBench: Benchmarking LLM Agents for Proactive Exploration and Test-time Adaptation in Evolving Environments was first seen on Hugging Face · Daily papers on Oct 20, 2026. Since then it appeared in 11 hourly checks across 2 days, peaking at #7 on Oct 20, 21:18 UTC. It was last on the list on Oct 21, 01:18 UTC.

Rank history

Position on Hugging Face · Daily papers at every check (lower is better).

#1#11#20#30 06:3411:1515:5620:3701:18 Oct 20, 06:34 UTC · #19Oct 20, 08:34 UTC · #20Oct 20, 10:35 UTC · #20Oct 20, 12:35 UTC · #18Oct 20, 13:16 UTC · #19Oct 20, 15:17 UTC · #15Oct 20, 17:17 UTC · #15Oct 20, 19:18 UTC · #9Oct 20, 21:18 UTC · #7Oct 20, 23:18 UTC · #7Oct 21, 01:18 UTC · #7

Last 14 days

Best rank per day (UTC).

Oct 14today

Metric history

Platform metric as reported by Hugging Face.

091827 06:3411:1515:5620:3701:18 Oct 20, 06:34 UTC · 10Oct 20, 08:34 UTC · 13Oct 20, 10:35 UTC · 13Oct 20, 12:35 UTC · 14Oct 20, 13:16 UTC · 15Oct 20, 15:17 UTC · 20Oct 20, 17:17 UTC · 23Oct 20, 19:18 UTC · 27Oct 20, 21:18 UTC · 27Oct 20, 23:18 UTC · 27Oct 21, 01:18 UTC · 27

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