most citedSynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

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…

cs.CL2025

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning

Josefa Lia Stoisser, Marc Boubnovski Martell, Julien Fauqueur

This work reframes the Text-to-SQL task as a pathway for teaching large language models (LLMs) to reason over and manipulate tabular data--moving beyond the traditional focus on qu…