Shreyas Chaudhari

According to our database, Shreyas Chaudhari authored at least 28 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Test-Time Strategies for More Efficient and Accurate Agentic RAG.

Brian Zhang, Deepti Guntur, Zhiyang Zuo, Abhinav Sharma, Shreyas Chaudhari, Wenlong Zhao, Franck Dernoncourt, Puneet Mathur, Ryan Rossi, Nedim Lipka

CoRR, March, 2026

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs.

Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva

ACM Comput. Surv., January, 2026

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazedeh

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

GLUE: Gradient-free Learning to Unify Experts.

Jong-Ik Park, Shreyas Chaudhari, Srinivasa Pranav, Carlee Joe-Wong, José M. F. Moura

CoRR, December, 2025

Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback.

Shreyas Chaudhari, Renhao Zhang, Philip S. Thomas, Bruno Castro da Silva

CoRR, October, 2025

Probing AI Safety with Source Code.

Ujwal Narayan, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik Narasimhan, Ameet Deshpande, Vishvak Murahari

CoRR, June, 2025

Agent Context Protocols Enhance Collective Inference.

Devansh Bhardwaj, Arjun Beniwal, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik R. Narasimhan, Ameet Deshpande, Vishvak Murahari

CoRR, May, 2025

ReLU Networks as Random Functions: Their Distribution in Probability Space.

Shreyas Chaudhari, José M. F. Moura

CoRR, March, 2025

Gradient Networks.

Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura

IEEE Trans. Signal Process., 2025

Peer-to-Peer Learning Dynamics of Wide Neural Networks.

Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

PersonaGym: Evaluating Persona Agents and LLMs.

Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik R. Narasimhan, Vishvak Murahari

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

GradNetOT: Learning Optimal Transport Maps with GradNets.

Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura

Proceedings of the 10th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2025

2024

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation.

Shreyas Chaudhari, Ameet Deshpande, Bruno C. da Silva, Philip S. Thomas

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Convolutional Neural Networks In The Companion Model.

John Shi, Shreyas Chaudhari, José M. F. Moura

Proceedings of the IEEE International Conference on Acoustics, 2024

From Past to Future: Rethinking Eligibility Traces.

Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Distributional Off-Policy Evaluation for Slate Recommendations.

Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Gradients of Convex Functions with Monotone Gradient Networks.

Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura

Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge Distillation by Compressive Sampling.

Shreyas Chaudhari, José M. F. Moura

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

High-Resolution CMB Lensing Reconstruction with Deep Learning.

Peikai Li, Ipek Ilayda Onur, Scott Dodelson, Shreyas Chaudhari

CoRR, 2022

Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection.

Shreyas Chaudhari, José M. F. Moura

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Multi-Armed Bandits With Correlated Arms.

Samarth Gupta, Shreyas Chaudhari, Gauri Joshi, Osman Yagan

IEEE Trans. Inf. Theory, 2021

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers.

Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov

Proceedings of the 9th International Conference on Learning Representations, 2021

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits.

Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan

Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks.

Shreyas Chaudhari, Harideep Nair, José M. F. Moura, John Paul Shen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting.

Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan

IEEE J. Sel. Areas Inf. Theory, 2020

2017

Energy-Delay-Distortion Problem.

Rahul Vaze, Shreyas Chaudhari, Akshat Choube, Nitin Aggarwal

CoRR, 2017