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Dive into the research topics where Arunesh Sinha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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BOOTSTRAPPING LANGUAGE MODELS WITH DPO IMPLICIT REWARDS
Chen, C., Liu, Z., Du, C., Pang, T., Liu, Q., Sinha, A., Varakantham, P. & Lin, M., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 29368-29385 18 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
Ge, Z., Chen, C., Sinha, A. & Varakantham, P., 2025, Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025. Vorobeychik, Y., Das, S. & Nowe, A. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 858-866 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ON MINIMIZING ADVERSARIAL COUNTERFACTUAL ERROR IN ADVERSARIAL RL
Belaire, R., Sinha, A. & Varakantham, P., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 33283-33307 25 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Preface
Sinha, A., Fu, J., Zhu, Q. & Zhang, T., 2025, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 14908 LNCS, p. v-viResearch output: Contribution to journal › Editorial › peer-review
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SEMANTIC LOSS GUIDED DATA EFFICIENT SUPERVISED FINE TUNING FOR SAFE RESPONSES IN LLMS
Lu, Y., Sinha, A. & Varakantham, P., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 52123-52135 13 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution