Papers with HMMT25

2 papers
Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling (2026.findings-acl)

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Challenge: Existing methods for testing time scales treat reasoning traces or tokens equally, ignoring substantial variations in trajectory quality and localized logical failures.
Approach: They propose a chronological reasoning scorer that models each trajectory as a time series.
Outcome: The proposed method achieves relative improvements of 34.21% over Pass@128 and 22.70% over Maj@135 on HMMT25, highlighting its effectiveness.
Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart (2026.findings-acl)

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Challenge: Experiments show that extended generation does not guarantee correctness . a recurring pattern in Long-CoT failures is a problem for large reasoning models .
Approach: They propose a test-time control framework that truncates the trajectory before the trap segment and adaptively restarts decoding.
Outcome: Experiments show that TAAR improves reasoning performance without fine-tuning model parameters.

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