ContraPrompt: Contrastive Prompt Optimization via Dyadic Reasoning Trace Analysis explores ContraPrompt optimizes LLM prompts by analyzing the reasoning traces of successful and failed attempts, leading to significant performance gains on complex benchmarks.. Commercial viability score: 7/10 in Prompt Optimization.
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/buildability/contraprompt-contrastive-prompt-optimization-via-dyadic-reasoning-trace-analysis
Subject: ContraPrompt: Contrastive Prompt Optimization via Dyadic Reasoning Trace Analysis
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Receipt path
/buildability/contraprompt-contrastive-prompt-optimization-via-dyadic-reasoning-trace-analysis
Paper ref
contraprompt-contrastive-prompt-optimization-via-dyadic-reasoning-trace-analysis
arXiv id
2604.17937
Generated at
2026-04-21T20:33:49.146Z
Evidence freshness
stale
Last verification
2026-04-21T20:33:49.146Z
Sources
4
References
0
Coverage
67%
Lineage hash
21ce6934d6a9a06e47dc8f339afa3adcddcc5706fbab2bef099c70eedce81685
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references
This equation captures one of the core mathematical components of the system. through the tree, so the augmented prompt P ⊕R(x)⊕x carries only the rule subset relevant to that
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This equation captures one of the core mathematical components of the system. the tree delivers only the subset R(x) ⊆Rall relevant to x’s structure. This reduces expected in-
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. For each training example, the model receives up to A attempts (default A=3) with error feedback
Page and bbox are available; crop image is pending.
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