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Sathwik Tejaswi Madhusudhan
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2020 – today
- 2025
- [c3]Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi:
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. COLING 2025: 9329-9345 - [i11]Ahmed Masry, Juan A. Rodriguez, 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:
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. CoRR abs/2502.01341 (2025) - [i10]Meghana Arakkal Rajeev, Rajkumar Ramamurthy, Prapti Trivedi, Vikas Yadav, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, James Zou, Nazneen Rajani:
Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models. CoRR abs/2503.01781 (2025) - [i9]Bryan Etzine, Masoud Hashemi, Nishanth Madhusudhan, Sagar Davasam, Roshnee Sharma, Sathwik Tejaswi Madhusudhan, Vikas Yadav:
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance. CoRR abs/2503.05551 (2025) - [i8]Masoud Hashemi, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav:
DNA Bench: When Silence is Smarter - Benchmarking Over-Reasoning in Reasoning LLMs. CoRR abs/2503.15793 (2025) - 2024
- [c2]Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan:
Enhancing Alignment using Curriculum Learning & Ranked Preferences. EMNLP (Findings) 2024: 12891-12907 - [i7]Sathwik Tejaswi Madhusudhan, Girish Chowdhary:
DeepSRGM - Sequence Classification and Ranking in Indian Classical Music with Deep Learning. CoRR abs/2402.10168 (2024) - [i6]Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan:
Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences. CoRR abs/2403.07230 (2024) - [i5]Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan:
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. CoRR abs/2406.16783 (2024) - [i4]Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu:
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels. CoRR abs/2406.17415 (2024) - [i3]Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi:
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. CoRR abs/2407.16221 (2024) - [i2]Juan A. Rodriguez, 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:
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR abs/2412.04626 (2024) - [i1]Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan:
SynthCypher: A Fully Synthetic Data Generation Framework for Text-to-Cypher Querying in Knowledge Graphs. CoRR abs/2412.12612 (2024)
2010 – 2019
- 2019
- [c1]Sathwik Tejaswi Madhusudhan, Girish Chowdhary:
DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning. ISMIR 2019: 533-540
Coauthor Index

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last updated on 2025-04-18 01:18 CEST by the dblp team
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