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EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents

Training LLM agents to interact with users over multiple turns is challenging because the learning signal depends not only on the agent, but also on the user simulator and environment, which jointly s

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–Rank now
#11Best rank
–Score · 24h
112Score · 7d
2Days on list
9Snapshots
Oct 21, 2026First seen

Summary

EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents was first seen on Hugging Face · Daily papers on Oct 21, 2026. Since then it appeared in 9 hourly checks across 2 days, peaking at #11 on Oct 22, 03:18 UTC. It was last on the list on Oct 22, 09:18 UTC.

Rank history

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

#1#11#20#30 17:1821:1801:1805:1809:18 Oct 21, 17:18 UTC · #27Oct 21, 19:18 UTC · #25Oct 21, 21:18 UTC · #27Oct 21, 23:18 UTC · #25Oct 22, 01:18 UTC · #24Oct 22, 03:18 UTC · #11Oct 22, 05:18 UTC · #12Oct 22, 07:18 UTC · #17Oct 22, 09:18 UTC · #19

Last 14 days

Best rank per day (UTC).

Oct 14today

Metric history

Platform metric as reported by Hugging Face.

04711 17:1821:1801:1805:1809:18 Oct 21, 17:18 UTC · 8Oct 21, 19:18 UTC · 9Oct 21, 21:18 UTC · 9Oct 21, 23:18 UTC · 9Oct 22, 01:18 UTC · 9Oct 22, 03:18 UTC · 11Oct 22, 05:18 UTC · 11Oct 22, 07:18 UTC · 11Oct 22, 09:18 UTC · 11

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