#reasoning-trajectories News & Analysis

2 articles tagged with #reasoning-trajectories. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 26/10

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PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency

Researchers introduce PETS, a framework for optimizing how many reasoning trajectories to sample from AI models during inference to maintain accuracy while reducing computational costs. By modeling trajectory allocation as a crowdsourcing problem, the approach achieves up to 75% budget savings on benchmarks while maintaining perfect consistency, addressing a key efficiency challenge in test-time scaling.

AINeutralarXiv – CS AI · May 96/10

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Measuring Black-Box Confidence via Reasoning Trajectories: Geometry, Coverage, and Verbalization

Researchers propose a novel black-box confidence estimation method for chain-of-thought reasoning that measures trajectory convergence rather than relying on expensive sampling. Testing across multiple benchmarks and AI models shows significant improvements over self-consistency baselines while requiring only 4 samples instead of 8, with potential applications for safer API-based AI deployment.

🧠 GPT-5🧠 Claude🧠 Sonnet