Sathwik Tejaswi Madhusudhan

According to our database, Sathwik Tejaswi Madhusudhan authored at least 28 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Super Apriel: One Checkpoint, Many Speeds.

Oleksiy Ostapenko, Raymond Li, Torsten Scholak, Alireza Mousavi-Hosseini, Aman Tiwari, Denis Kocetkov, Joel Lamy-Poirier, Kelechi Ogueji, Nanda H. Krishna, Rafael Pardinas, Sathwik Tejaswi Madhusudhan, Shruthan Radhakrishna, Srinivas Sunkara, Valérie Bécaert

CoRR, April, 2026

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings.

Shiva Krishna Reddy Malay, Shravan Nayak, Jishnu Sethumadhavan Nair, Sagar Davasam, Aman Tiwari, Sathwik Tejaswi Madhusudhan, Sridhar Krishna Nemala, Srinivas Sunkara, Sai Rajeswar

CoRR, March, 2026

Grammar Search for Multi-Agent Systems.

Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, Shravan Nayak, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Eduardo Blanco

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs.

Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AprielGuard.

Jaykumar Kasundra, Anjaneya Praharaj, Sourabh Surana, Lakshmi Sirisha Chodisetty, Sourav Sharma, Abhigya Verma, Abhishek Bhardwaj, Debasish Kanhar, Aakash Bhagat, Khalil Slimi, Seganrasan Subramanian, Sathwik Tejaswi Madhusudhan, Ranga Prasad Chenna, Srinivas Sunkara

CoRR, December, 2025

Apriel-H1: Towards Efficient Enterprise Reasoning Models.

Oleksiy Ostapenko, Luke Kumar, Raymond Li, Denis Kocetkov, Joel Lamy-Poirier, Shruthan Radhakrishna, Soham Parikh, Shambhavi Mishra, Sébastien Paquet, Srinivas Sunkara, Valérie Bécaert, Sathwik Tejaswi Madhusudhan, Torsten Scholak

CoRR, November, 2025

Apriel-1.5-15b-Thinker.

Shruthan Radhakrishna, Aman Tiwari, Aanjaneya Shukla, Masoud Hashemi, Rishabh Maheshwary, Shiva Krishna Reddy Malay, Jash Mehta, Pulkit Pattnaik, Saloni Mittal, Khalil Slimi, Kelechi Ogueji, Akintunde Oladipo, Soham Parikh, Oluwanifemi Bamgbose, Toby Liang, Ahmed Masry, Khyati Mahajan, Sai Rajeswar Mudumba, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sagar Davasam, Srinivas Sunkara, Nicolas Chapados

CoRR, October, 2025

AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs.

Sidharth Surapaneni, Hoang Nguyen, Jash Mehta, Aman Tiwari, Oluwanifemi Bamgbose, Akshay Kalkunte, Sai Rajeswar, Sathwik Tejaswi Madhusudhan

CoRR, September, 2025

Apriel-Nemotron-15B-Thinker.

Shruthan Radhakrishna, Soham Parikh, Gopal Sarda, Anil Turkkan, Quaizar Vohra, Raymond Li, Dhruv Jhamb, Kelechi Ogueji, Aanjaneya Shukla, Oluwanifemi Bamgbose, Toby Liang, Luke Kumar, Oleksiy Ostapenko, Shiva Krishna Reddy Malay, Aman Tiwari, Tara Bogavelli, Vikas Yadav, Jash Mehta, Saloni Mittal, Akshay Kalkunte, Pulkit Pattnaik, Khalil Slimi, Anirudh Sreeram, Jishnu Sethumadhavan Nair, Akintunde Oladipo, Shashank Maiya, Khyati Mahajan, Rishabh Maheshwary, Masoud Hashemi, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sébastien Paquet, Sagar Davasam, Srinivas Sunkara

CoRR, August, 2025

BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning.

Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodríguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vázquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella

CoRR, August, 2025

Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA.

Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Spandana Gella, Vikas Yadav

CoRR, May, 2025

DNA Bench: When Silence is Smarter - Benchmarking Over-Reasoning in Reasoning LLMs.

Masoud Hashemi, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav

CoRR, March, 2025

Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance.

Bryan Etzine, Masoud Hashemi, Nishanth Madhusudhan, Sagar Davasam, Roshnee Sharma, Sathwik Tejaswi Madhusudhan, Vikas Yadav

CoRR, March, 2025

Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models.

Meghana Arakkal Rajeev, Rajkumar Ramamurthy, Prapti Trivedi, Vikas Yadav, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, James Zou, Nazneen Rajani

CoRR, March, 2025

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding.

Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, February, 2025

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding.

Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Chris Pal, Issam Hadj Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models.

Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval.

Ahmed Masry, Megh Thakkar, Patrice Béchard, Sathwik Tejaswi Madhusudhan, Rabiul Awal, Shambhavi Mishra, Akshay Kalkunte Suresh, Srivatsava Daruru, Enamul Hoque, Spandana Gella, Torsten Scholak, Sai Rajeswar

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.

Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs.

Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SynthCypher: A Fully Synthetic Data Generation Framework for Text-to-Cypher Querying in Knowledge Graphs.

Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan

CoRR, 2024

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks.

Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar

CoRR, 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

CoRR, 2024

Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences.

Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan

CoRR, 2024

DeepSRGM - Sequence Classification and Ranking in Indian Classical Music with Deep Learning.

Sathwik Tejaswi Madhusudhan, Girish Chowdhary

CoRR, 2024

Enhancing Alignment using Curriculum Learning & Ranked Preferences.

Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2019

DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning.

Sathwik Tejaswi Madhusudhan, Girish Chowdhary

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019