Rishabh Maheshwary

Publications

Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA. Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar Mudumba, Sathwik Madhusudhan, Spandana Gella, Vikas Yadav. At Language Resources and Evaluation Conference, 2026.

M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan. At North American Chapter of the Association for Computational Linguistics (NAACL), 2025.

Paper Cite Code

Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages. Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary. At North American Chapter of the Association for Computational Linguistics (NAACL), 2025.

Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences. Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan. At Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels. Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu. At ArXiv, 2024.

Paper Cite Code

M-RewardBench: Evaluating Reward Models in Multilingual Settings. Srishti Gureja, Lester James V. Miranda, Shayekh Bin Islam, Rishabh Maheshwary, Drishti Sharma, Gusti Winata, Nathan Lambert, Sebastian Ruder, Sara Hooker, Marzieh Fadaee. At ArXiv, 2024.