Vikas Yadav

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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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.

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.

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy. Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu. At Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

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.

PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. Vikas Yadav, Zheng Tang, Vijay Srinivasan. At nternational ACM SIGIR Conference on Research and Development in Information Retrieval, 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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