ICML Spotlights Three Studies on Agent Failures
wzenus · x · 2026-07-10
This post covers a contributed oral session by @jiankuiuc, @mertcemri, and Yuting Yan, featuring three complementary studies on agent failures: D-CEM discussed using loss-aware negotiation control to avoid unsafe consensus; Who&When Pro serves as a large-scale multimodal failure attribution benchmark; and ATLAS demonstrated how an adaptive failure taxonomy improves judgment, reflection, and agent optimization.
The original post also notes that those unable to attend ICML 2026 in person can catch up on these projects via Discord's live paper QA.
Related event: ICML 2026 FAGEN Workshop Spotlights AI Agent Failure Modes(11 posts)→
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