Sharath Chandra Raparthy

17 papers A* 6Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.
ICML
Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu
2024 J jnl
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.
CoRR
Alex Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Railneau
2024 A* conf
Generalization to New Sequential Decision Making Tasks with In-Context Learning.
ICML
Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
2024 A* conf
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
NeurIPS
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024 J jnl
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.
CoRR
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu
2024 J jnl
Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models.
CoRR
Alex Havrilla, Andrew Dai, Laura O'Mahony, Koen Oostermeijer, Vera Zisler, Alon Albalak, Fabrizio Milo, Sharath Chandra Raparthy, Kanishk Gandhi, Baber Abbasi, Duy Phung, Maia Iyer, Dakota Mahan, Chase Blagden, Srishti Gureja, Mohammed Hamdy, Wen-Ding Li, Giovanni Paolini, Pawan Sasanka Ammanamanchi, Elliot Meyerson
2024 J jnl
Teaching Large Language Models to Reason with Reinforcement Learning.
CoRR
Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu
2023 J jnl
Generalization to New Sequential Decision Making Tasks with In-Context Learning.
CoRR
Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
2023 A* conf
Multi-Objective GFlowNets.
ICML
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
2022 — conf
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning.
SafeAI@AAAI
Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand
2022 A* conf
Compositional Attention: Disentangling Search and Retrieval.
ICLR
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie
2022 A* conf
Continual Learning In Environments With Polynomial Mixing Times.
NeurIPS
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
2022 J jnl
Multi-Objective GFlowNets.
CoRR
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio
2021 J jnl
Compositional Attention: Disentangling Search and Retrieval.
CoRR
Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie
2021 J jnl
Continual Learning In Environments With Polynomial Mixing Times.
CoRR
Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
2020 J jnl
Curriculum in Gradient-Based Meta-Reinforcement Learning.
CoRR
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull
2020 J jnl
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
CoRR
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull