Roy, Rajarshi

8 publications

IJCAI 2025 Learning Probabilistic Temporal Logic Specifications for Stochastic Systems Rajarshi Roy, Yash Pote, Dave Parker, Marta Kwiatkowska

ICLR 2025 NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

ICML 2025 Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro

NeurIPS 2024 ChatQA: Surpassing GPT-4 on Conversational QA and RAG Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro

NeurIPSW 2023 CircuitVAE: Efficient and Scalable Latent Circuit Optimization Jialin Song, Aidan Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro

AAAI 2023 Learning Interpretable Temporal Properties from Positive Examples Only Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu

IJCAI 2020 Learning Interpretable Models in the Property Specification Language Rajarshi Roy, Dana Fisman, Daniel Neider

ECML-PKDD 2020 Quality Guarantees for Autoencoders via Unsupervised Adversarial Attacks Benedikt Böing, Rajarshi Roy, Emmanuel Müller, Daniel Neider