Sathwik Tejaswi Madhusudhan

Publications

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodriguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piche, Dzmitry Bahdanau, Christopher Pal, David Vazquez, Enamul Hoque Prince , Perouz Taslakian, Sai Rajeswar Mudumba, Spandana Gella. At Conference on Language Modeling (COLM), 2025.

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Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework. Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan. At North American Chapter of the Association for Computational Linguistics (NAACL), 2025.

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.

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BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar Mudumba. At International Conference of Learning Representations (ICLR), 2025.

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Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi. At International Conference on Computational Linguistics (COLING), 2025.

BigDocs: A Permissively-Licensed Dataset for Training Vision-Language Models on Document and Code Tasks. Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, Francois Savard, Amirhossein Abaskohi, Ahmed Masry, Shravan Nayak, Mahsa Massoud, Rabiul Awal, Pierre-André Noël, Mats L. Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Ying Zhang, Sathwik Tejaswi Madhusudhan, João Monteiro, Krishnamurthy (Dj) Dvijotham, Torsten Scholak, Nicolas Chapados, Sean Hughes, Tamer Özsu, Aishwarya Agrawal, Marco Pedersoli, Christopher Pal, Perouz Taslakian, David Vazquez, Issam H. Laradji, Spandana Gella, Sai Rajeswar Mudumba. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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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.

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S-LLM: Semi-Supervised Large Language Model for Chat Summarization. Issam H. Laradji, Sathwik Tejaswi Madhusudhan, Orlando Marquez, Pau Rodriguez, David Vazquez. At Montreal AI Symposium (MAIS), 2022.