TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle (CoRR, 2024)

Unveiling Context-Aware Criteria in Self-Assessing LLMs. - Taneesh Gupta; Shivam Shandilya; Xuchao Zhang; Supriyo Ghosh; Chetan Bansal; Huaxiu Yao; Saravan Rajmohan (CoRR, 2024)

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. - Aditya Soni; Mayukh Das; Anjaly Parayil; Supriyo Ghosh; Shivam Shandilya; Ching-An Cheng; Vishak Gopal; Sami Khairy; Gabriel Mittag; Yasaman Hosseinkashi; Chetan Bansal (CoRR, 2024)

CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. - Taneesh Gupta; Shivam Shandilya; Xuchao Zhang; Rahul Madhavan; Supriyo Ghosh; Chetan Bansal; Huaxiu Yao; Saravan Rajmohan (ACL (Findings), 2025)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle; Saravan Rajmohan (ACL (Findings), 2025)