Active Learning with Siamese Twins for Sequence Tagging. - Rishi Hazra; Shubham Gupta; Ambedkar Dukkipati (CoRR, 2019)

Networked Multi-Agent Reinforcement Learning with Emergent Communication. - Shubham Gupta; Rishi Hazra; Ambedkar Dukkipati (AAMAS, 2020)

Infinite use of finite means: Zero-Shot Generalization using Compositional Emergent Protocols. - Rishi Hazra; Sonu Dixit; Sayambhu Sen (CoRR, 2020)

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 (NAACL-HLT, 2021)

gComm: An environment for investigating generalization in Grounded Language Acquisition. - Rishi Hazra; Sonu Dixit (CoRR, 2021)

Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols. - Rishi Hazra; Sonu Dixit; Sayambhu Sen (CoRR, 2021)

EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. - Rishi Hazra; Brian Chen; Akshara Rai; Nitin Kamra; Ruta Desai (ICCV, 2023)

Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach. - Rishi Hazra; Luc De Raedt (ECML/PKDD (4), 2023)

SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. - Rishi Hazra; Pedro Zuidberg Dos Martires; Luc De Raedt (AAAI, 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)

Can Large Language Models Reason? A Characterization via 3-SAT. - Rishi Hazra; Gabriele Venturato; Pedro Zuidberg Dos Martires; Luc De Raedt (CoRR, 2024)

Bidirectional Intent Communication: A Role for Large Foundation Models. - Tim Schreiter; Rishi Hazra; Jens Rüppel; Andrey Rudenko (CoRR, 2024)

Evaluating Efficiency and Engagement in Scripted and LLM-Enhanced Human-Robot Interactions. - Tim Schreiter; Jens V. Rüppel; Rishi Hazra; Andrey Rudenko; Martin Magnusson 002; Achim J. Lilienthal (HRI, 2025)

REvolve: Reward Evolution with Large Language Models using Human Feedback. - Rishi Hazra; Alkis Sygkounas; Andreas Persson; Amy Loutfi; Pedro Zuidberg Dos Martires (ICLR, 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, 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; et al. (CoRR, 2025)