3 papers
cs.LG2025
Generalization of RLVR Using Causal Reasoning as a Testbed
Brian Lu, Hongyu Zhao, Shuo Sun +3
Reinforcement learning with verifiable rewards (RLVR) has emerged as a promising paradigm for post-training large language models (LLMs) on complex reasoning tasks. Yet, the condit…
cs.AI2025
SHACL-SKOS Based Knowledge Representation of Material Safety Data Sheet (SDS) for the Pharmaceutical Industry
Brian Lu, Dennis Pham, Ti-Chiun Chang +3
We report the development of a knowledge representation and reasoning (KRR) system built on hybrid SHACL-SKOS ontologies for globally harmonized system (GHS) material Safety Data S…
cs.CL2024
Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning
Shepard Xia, Brian Lu, Jason Eisner
A hallmark of intelligence is the ability to flesh out underspecified situations using "common sense." We propose to extract that common sense from large language models (LLMs), in…