Coarsely minimal Reeb flows with a divergence property are orbitally equivalent to geodesic flows of negative sectional curvature metrics, extending Gromov's result via Floer homology.
arXiv preprint arXiv:2501.12345 , year=
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MSIFR stops faulty LLM generations early via staged rule-based checks, reducing token consumption 11-78% with no accuracy loss.
SAGE trains agents in physics-grounded semantic abstractions via RL with asymmetric clipping, achieving 53.21% LLM-Match Success on A-EQA (+9.7% over baseline) and encouraging physical robot transfer.
HyLaR interleaves discrete text generation with continuous visual latent representations and optimizes them via a decoupled RL algorithm using vMF distributions, improving fine-grained visual reasoning.
A four-dimension classifier routes agentic coding tasks into HITL, human-over-the-loop, or automated-with-monitoring tiers, analytically estimated to keep ~91% of ungoverned coding velocity under regulatory constraints.
citing papers explorer
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Rigidity of coarsely minimal Reeb flows
Coarsely minimal Reeb flows with a divergence property are orbitally equivalent to geodesic flows of negative sectional curvature metrics, extending Gromov's result via Floer homology.
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Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection
MSIFR stops faulty LLM generations early via staged rule-based checks, reducing token consumption 11-78% with no accuracy loss.
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Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation
SAGE trains agents in physics-grounded semantic abstractions via RL with asymmetric clipping, achieving 53.21% LLM-Match Success on A-EQA (+9.7% over baseline) and encouraging physical robot transfer.
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HyLaR: Hybrid Latent Reasoning with Decoupled Policy Optimization
HyLaR interleaves discrete text generation with continuous visual latent representations and optimizes them via a decoupled RL algorithm using vMF distributions, improving fine-grained visual reasoning.
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Governed AI-Assisted Engineering: Graduated Human Oversight for Agentic Code Generation in Regulated Domains
A four-dimension classifier routes agentic coding tasks into HITL, human-over-the-loop, or automated-with-monitoring tiers, analytically estimated to keep ~91% of ungoverned coding velocity under regulatory constraints.