Verified75% confidenceSolutionExact time
Chain-of-Thought prompting can improve reasoning quality, and contrastive prompting can reduce confirmation bias
3
Sources
75%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
AI提升科研效率,却让科学发现走向同质化
hackernewshackernews7/12/2026
Related Claims
UnverifiedThe mechanism of motivated reasoning manifests as the brain lowering its scrutiny standards for supporting evidence while simultaneously raising the level of harshness applied to refuting evidence.75% similarUnverifiedWhat verifier feedback truly improves is the witness structure, not the ability to classify propositions.75% similarUnverifiedUsing pairwise comparisons rather than absolute scoring makes it easier to align with human judgment and can circumvent the subjective ambiguity of absolute scoring.74% similarUnverifiedEvaluating problem-setting quality can be transformed into evaluating the gain of the hint, i.e., the difference in pass rate for the same solver with and without the hint.72% similarUnverifiedWhen purely pursuing accuracy improvements, increasing inference effort is generally the default option with more predictable cost and lower engineering risk; advisor pairing is better suited to scenarios where inference effort is already saturated, or where another perspective rather than more compute is needed.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/503477API
curl https://kongchang.com/api/v1/knowledge/claims/503477MCP
get_claim(id=503477)