5 papers
CEDAR-GRPO: Process-Aware Reinforcement Learning for General Abductive Reasoning in LLMs
Moein Salimi, Danial Parnian, Shaygan Adim +6
Abductive reasoning, often characterized as inference to the best explanation, is central to explanation under uncertainty, from everyday sense-making and investigation to scientif…
A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction
Nafiseh Sadat Sajadi, Behnam Bahrak, Mahdi Jafari Siavoshani
Predicting links in sparse, continuously evolving networks is a central challenge in network science. Conventional heuristic methods and deep learning models, including Graph Neura…
Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs
Moein Salimi, Shaygan Adim, Danial Parnian +3
Regardless of its foundational role in human discovery and sense-making, abductive reasoning--the inference of the most plausible explanation for an observation--has been relativel…
Generalization and Membership Inference Attack a Practical Perspective
Fateme Rahmani, Mahdi Jafari Siavoshani, Mohammad Hossein Rohban
With the emergence of new evaluation metrics and attack methodologies for Membership Inference Attacks (MIA), it becomes essential to reevaluate previously accepted assumptions. In…
Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training
Moein Salimi, Babak Hosseini Mohtasham, Amin Aghakasiri +6
Large Language Models (LLMs) have demonstrated potential in automating scientific ideation, yet current approaches relying on iterative prompting or complex multi-agent architectur…