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2020 – today
- 2026
[i20]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:
AIRA_2: Overcoming Bottlenecks in AI Research Agents. CoRR abs/2603.26499 (2026)- [i19]Alkis Sygkounas, Rishi Hazra, Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi:
COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game. CoRR abs/2603.28386 (2026) - 2025
- [c8]Tim Schreiter, Jens V. Rüppel, Rishi Hazra, Andrey Rudenko, Martin Magnusson, Achim J. Lilienthal:
Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions. HRI 2025: 1608-1612 - [c7]Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires:
REvolve: Reward Evolution with Large Language Models using Human Feedback. ICLR 2025 - [c6]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:
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. IJCAI 2025: 10999-11003 - [i18]Tim Schreiter
, Jens Rüppel, Rishi Hazra, Andrey Rudenko, Martin Magnusson, Achim J. Lilienthal:
Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions. CoRR abs/2501.12128 (2025) - [i17]Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, Luc De Raedt:
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition. CoRR abs/2504.03930 (2025) - [i16]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:
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR abs/2507.02554 (2025) - [i15]Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt:
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language. CoRR abs/2510.05972 (2025) - [i14]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:
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity. CoRR abs/2511.15593 (2025) - [i13]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:
SAM 3: Segment Anything with Concepts. CoRR abs/2511.16719 (2025) - [i12]Shashwat Goel, Rishi Hazra, Dulhan Jayalath, Timon Willi, Parag Jain, William F. Shen, Ilias Leontiadis, Francesco Barbieri, Yoram Bachrach, Jonas Geiping, Chenxi Whitehouse:
Training AI Co-Scientists Using Rubric Rewards. CoRR abs/2512.23707 (2025) - 2024
- [c5]Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt:
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. AAAI 2024: 20123-20133 - [i11]Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires:
REvolve: Reward Evolution with Large Language Models for Autonomous Driving. CoRR abs/2406.01309 (2024) - [i10]Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, Luc De Raedt:
Can Large Language Models Reason? A Characterization via 3-SAT. CoRR abs/2408.07215 (2024) - [i9]Tim Schreiter, Rishi Hazra, Jens Rüppel, Andrey Rudenko:
Bidirectional Intent Communication: A Role for Large Foundation Models. CoRR abs/2408.10589 (2024) - 2023
- [c4]Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai:
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. ICCV 2023: 15371-15383 - [c3]Rishi Hazra, Luc De Raedt:
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach. ECML/PKDD (4) 2023: 213-229 - [i8]Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai:
EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. CoRR abs/2303.16975 (2023) - [i7]Rishi Hazra, Luc De Raedt:
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach. CoRR abs/2304.08349 (2023) - [i6]Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt:
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge. CoRR abs/2308.12682 (2023) - 2021
- [c2]Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati:
Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. NAACL-HLT 2021: 1982-1995 - [i5]Rishi Hazra, Sonu Dixit:
gComm: An environment for investigating generalization in Grounded Language Acquisition. CoRR abs/2105.03943 (2021) - [i4]Rishi Hazra, Sonu Dixit, Sayambhu Sen:
Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols. CoRR abs/2105.05069 (2021) - 2020
- [c1]Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. AAMAS 2020: 1858-1860 - [i3]Shubham Gupta, Rishi Hazra, Ambedkar Dukkipati:
Networked Multi-Agent Reinforcement Learning with Emergent Communication. CoRR abs/2004.02780 (2020) - [i2]Rishi Hazra, Sonu Dixit, Sayambhu Sen:
Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols. CoRR abs/2012.05011 (2020)
2010 – 2019
- 2019
- [i1]Rishi Hazra, Shubham Gupta, Ambedkar Dukkipati:
Active Learning with Siamese Twins for Sequence Tagging. CoRR abs/1911.00234 (2019)
Coauthor Index
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