Transient reduced-order convective heat transfer modeling for a data center. - Rajat Ghosh (2015)

Data-Driven Evaluation of Training Action Space for Reinforcement Learning. - Rajat Ghosh; Debojyoti Dutta (CoRR, 2022)

Efficient Alignment of Large Language Models via Data Sampling. - Amrit Khera; Rajat Ghosh; Debojyoti Dutta (ENLSP, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++? - Vaishnavi Bhargava; Rajat Ghosh; Debojyoti Dutta (CoRR, 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade–Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models. - Datta Nimmaturi; Vaishnavi Bhargava; Rajat Ghosh; Johnu George; Debojyoti Dutta (CoRR, 2025)

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning. - Jinan Zhou; Rajat Ghosh; Vaishnavi Bhargava; Debojyoti Dutta; Aryan Singhal (CoRR, 2025)