Papers
1–3 of 3Research Paper·Jan 21, 2026
Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning
Large language models have achieved near-expert performance in structured reasoning domains like mathematics and programming, yet their ability to perform compositional multi-hop reasoning in speciali...
7.0 viability
Research Paper·Feb 4, 2026·B2BEducation
ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control
Expert-level scientific reasoning remains challenging for large language models, particularly on benchmarks such as Humanity's Last Exam (HLE), where rigid tool pipelines, brittle multi-agent coordina...
7.0 viability
Research Paper·Feb 11, 2026
Equivariant Evidential Deep Learning for Interatomic Potentials
Uncertainty quantification (UQ) is critical for assessing the reliability of machine learning interatomic potentials (MLIPs) in molecular dynamics (MD) simulations, identifying extrapolation regimes a...
5.0 viability