Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

Repo for "Large Language Model Reasoning Failures"

Phy-Q: A Testbed for Physical Reasoning

📄 A curated list of visual reasoning papers.

Learning Physics-grounded 4d Dynamics With Neural Gaussian Force Fields

[TMLR'24] A CommonSense Reasoning Dataset pertaining to Physical Commonsense affordance of objects.

A Python toolkit for physical reasoning in LLMs and VLMs. This toolkit streamlines access to various physical reasoning datasets/benchmarks and provides a unified interface to different LLM/VLM providers, enabling researchers and developers to analyze, evaluate, and build applications in the physics reasoning domain.

Learning To Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation

AI-powered VLM physical-world reasoning app using Knowledge Graph retrieval, physics rules, Firebase AI, web context, and ablation evaluation.

Framework for auditing the physical state-transition commitments of vision-language models. Instead of scoring only the answer, it elicits a typed trace, verifies it with a hybrid checker, and surfaces hidden inconsistency. Includes WMW-TRACEBANK: 200 validated traces across 17 physics families + 3,200 preference pairs.

Neural Gaussian Force Field to generate 4D physics-grounded dynamics.