Vikas Yadav
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
9
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs. | Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav |
| 2026 | ACL | Grammar Search for Multi-Agent Systems. | Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, Shravan Nayak, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Eduardo Blanco |
| 2026 | LREC | Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA. | Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Spandana Gella, Vikas Yadav |
| 2025 | ACL | 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 |
| 2025 | COLING | Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. | Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi |
| 2025 | EMNLP | ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. | Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav, Liangming Pan |
| 2025 | EMNLP | CopySpec: Accelerating LLMs with Speculative Copy-and-Paste. | Razvan-Gabriel Dumitru, Minglai Yang, Vikas Yadav, Mihai Surdeanu |
| 2025 | EMNLP | Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning. | Bohan Yao, Vikas Yadav |
| 2025 | NAACL | M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. | Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan |
| 2025 | NAACL | Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages. | Hoang H. Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary |
| 2025 | NAACL | 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 |
| 2024 | COLING | Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. | Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin |
| 2024 | EMNLP | Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy. | Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu |
| 2024 | EMNLP | Enhancing Alignment using Curriculum Learning & Ranked Preferences. | Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan |
| 2024 | ICLR | AlpaGasus: Training a Better Alpaca with Fewer Data. | Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin |
| 2024 | NAACL | Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. | Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin |
| 2024 | SIGIR | PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. | Vikas Yadav, Zheng Tang, Vijay Srinivasan |
| 2022 | COLING | Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning. | Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil |
| 2021 | NAACL | If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2021 | SIGIR | Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. | Hoang Van, Vikas Yadav, Mihai Surdeanu |
| 2020 | ACL | Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2020 | LREC | Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. | Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark |
| 2020 | SIGIR | Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2019 | EMNLP | Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2019 | NAACL | Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. | Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escrcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu |
| 2019 | NAACL | Alignment over Heterogeneous Embeddings for Question Answering. | Vikas Yadav, Steven Bethard, Mihai Surdeanu |
| 2018 | COLING | A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. | Vikas Yadav, Steven Bethard |
| 2018 | SIGIR | Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. | Vikas Yadav, Rebecca Sharp, Mihai Surdeanu |
| 2016 | DAS | Text Extraction in Document Images: Highlight on Using Corner Points. | Vikas Yadav, Nicolas Ragot |