4 papers
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…
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…
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…
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
Eric Modesitt, Haicheng Yin, Williams Huang Wang +1
The task of Electroencephalogram (EEG) analysis is paramount to the development of Brain-Computer Interfaces (BCIs). However, to reach the goal of developing robust, useful BCIs de…