37 citations · 158 across the 41 of their papers we have counts for
5 papers · 1 filter
Information-Gain Rewards over Diversity-Pruned Tests: GT-Anchored Verifier Co-Training for Reliable Code Generation
Ana Nunez, Peyman Najafirad
Self-play methods that co-train a single language model as both coder and test author promise to move code-generation RL beyond fixed test suites, but they suffer from two coupled…
Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis
Fatemeh Haji, Javier Delarosa Quiros, Peyman Najafirad
Combinatorial optimization (CO) underlies decision-making from logistics to chip design, where infeasible solutions are operationally unusable and small quality gains translate int…
Agentic Adversarial Rewriting Exposes Architectural Vulnerabilities in Black-Box NLP Pipelines
Mazal Bethany, Kim-Kwang Raymond Choo, Nishant Vishwamitra +1
Multi-component natural language processing (NLP) pipelines are increasingly deployed for high-stakes decisions, yet no existing adversarial method can test their robustness under…
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent
Fatemeh Haji, Mazal Bethany, Maryam Tabar +3
Multi-agent strategies have emerged as a promising approach to enhance the reasoning abilities of Large Language Models (LLMs) by assigning specialized roles in the problem-solving…
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
Nihar Bendre, Nima Ebadi, John J Prevost +1
A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed. In…