Shreyas Chaudhari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Test-Time Strategies for More Efficient and Accurate Agentic RAG. | Abhinav Sharma, Brian Zhang, Deepti Guntur, Zhiyang Zuo, Shreyas Chaudhari, Wenlong Zhao, Franck Dernoncourt, Puneet Mathur, Ryan Anthony Rossi, Nedim Lipka |
| 2026 | WSDM | 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 |
| 2025 | EMNLP | 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 |
| 2025 | ICASSP | Peer-to-Peer Learning Dynamics of Wide Neural Networks. | Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, Jos M. F. Moura |
| 2024 | AAAI | Distributional Off-Policy Evaluation for Slate Recommendations. | Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis |
| 2024 | AAAI | From Past to Future: Rethinking Eligibility Traces. | Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva |
| 2024 | ICASSP | Graph Convolutional Neural Networks In The Companion Model. | John Shi, Shreyas Chaudhari, Jos M. F. Moura |
| 2023 | ACSSC | Knowledge Distillation by Compressive Sampling. | Shreyas Chaudhari, Jos M. F. Moura |
| 2023 | ICASSP | Learning Gradients of Convex Functions with Monotone Gradient Networks. | Shreyas Chaudhari, Srinivasa Pranav, Jos M. F. Moura |
| 2022 | ACSSC | Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection. | Shreyas Chaudhari, Jos M. F. Moura |
| 2021 | ICASSP | Unsupervised Clustering of Time Series Signals Using Neuromorphic Energy-Efficient Temporal Neural Networks. | Shreyas Chaudhari, Harideep Nair, Jos M. F. Moura, John Paul Shen |
| 2021 | ICASSP | A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. | Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan |
| 2021 | ICLR | Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers. | Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov |