Rishi Hazra

According to our database, Rishi Hazra authored at least 23 papers between 2019 and 2026.

Collaborative distances:

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

2026

COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game.

Alkis Sygkounas, Rishi Hazra, Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi

CoRR, March, 2026

AIRA_2: Overcoming Bottlenecks in AI Research Agents.

Karen Hambardzumyan, Nicolas Mario Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Maria Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski

CoRR, March, 2026

2025

Training AI Co-Scientists Using Rubric Rewards.

Shashwat Goel, Rishi Hazra, Dulhan Jayalath, Timon Willi, Parag Jain, William F. Shen, Ilias Leontiadis, Francesco Barbieri, Yoram Bachrach, Jonas Geiping, Chenxi Whitehouse

CoRR, December, 2025

SAM 3: Segment Anything with Concepts.

Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer

CoRR, November, 2025

What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity.

Alexis Audran-Reiss, Jordi Armengol-Estapé, Karen Hambardzumyan, Amar Budhiraja, Martin Josifoski, Edan Toledo, Rishi Hazra, Despoina Magka, Michael Shvartsman, Parth Pathak, Justine T. Kao, Lucia Cipolina-Kun, Bhavul Gauri, Jean-Christophe Gagnon-Audet, Emanuel Tewolde, Jenny Zhang, Taco Cohen, Yossi Adi, Tatiana Shavrina, Yoram Bachrach

CoRR, November, 2025

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench.

Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Mario Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Kelvin Niu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H. Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach

CoRR, July, 2025

Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition.

Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, Luc De Raedt

CoRR, April, 2025

LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language.

Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games.

Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

REvolve: Reward Evolution with Large Language Models using Human Feedback.

Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions.

Tim Schreiter, Jens V. Rüppel, Rishi Hazra, Andrey Rudenko, Martin Magnusson, Achim J. Lilienthal

Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

2024

Bidirectional Intent Communication: A Role for Large Foundation Models.

Tim Schreiter, Rishi Hazra, Jens Rüppel, Andrey Rudenko

CoRR, 2024

Can Large Language Models Reason? A Characterization via 3-SAT.

Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, Luc De Raedt

CoRR, 2024

REvolve: Reward Evolution with Large Language Models for Autonomous Driving.

Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires

CoRR, 2024

SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge.

Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt

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

2023

Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach.

Rishi Hazra, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

EgoTV: Egocentric Task Verification from Natural Language Task Descriptions.

Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols.

Rishi Hazra, Sonu Dixit, Sayambhu Sen

CoRR, 2021

gComm: An environment for investigating generalization in Grounded Language Acquisition.

Rishi Hazra, Sonu Dixit

CoRR, 2021

Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation.

Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols.

Rishi Hazra, Sonu Dixit, Sayambhu Sen

CoRR, 2020

Networked Multi-Agent Reinforcement Learning with Emergent Communication.

Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Active Learning with Siamese Twins for Sequence Tagging.

Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati

CoRR, 2019