3 papers
cs.AI2025
Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty Filtering
Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra +5
Synthetic chain-of-thought (CoT) traces are widely used to train large reasoning models (LRMs), improving generalization by providing step-level supervision. Yet most approaches re…
cs.AI2025
Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning
Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips +6
Large language model (LLM) agents are increasingly deployed in structured biomedical data environments, yet they often produce fluent but overconfident outputs when reasoning over…
cs.CL2025
STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing
Josefa Lia Stoisser, Marc Boubnovski Martell, Lawrence Phillips +2
We propose STRuCT-LLM, a unified framework for training large language models (LLMs) to perform structured reasoning over both relational and graph-structured data. Our approach jo…