reward-segments-reference-reasoning-points-reached TEC-0186 · proposedReward segments by reference reasoning points reached
Split each sampled trajectory into segments and give each segment a reward equal to the increase in the count of reference-solution reasoning points it has reached, with credit shortcut so that reaching the goal counts all points.
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Split each sampled trajectory into segments and give each segment a reward equal to the increase in the count of reference-solution reasoning points it has reached, with credit shortcut so that reaching the goal counts all points. Filed by the drafting stage from Long-Horizon Language Model Reinforcement Learning via Progressive Point Matching (2609.07303) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: GRPO baseline vs trajectory-level and segment-level variants on Multi-Countdown, Matrix Manipulation, GSM-Infinite (success 0.415 vs 0.084 sparse at n=16; 0.191 vs 0.091 at n=24), Polaris pass@1/pass@8 at 16K eval, and a POPE-hard subset where base pass rate is ~0.004 at 8K; also a signal-to-noise theorem.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
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