Vikas Yadav

According to our database, Vikas Yadav authored at least 46 papers between 2003 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models.

Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin

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

Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors.

Vikas Yadav, Zheng Tang, Vijay Srinivasan

CoRR, 2024

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

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

CoRR, 2024

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

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

CoRR, 2024

PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors.

Vikas Yadav, Zheng Tang, Vijay Srinivasan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy.

Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu

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

Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation.

Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Rfpssih: reducing false positive text detection sequels in scenery images using hybrid technique.

Avaneesh Kumar Yadav, Animesh Sharma, Vikas Yadav, Neha Kalia

Int. J. Syst. Assur. Eng. Manag., December, 2023

Virtual Prompt Injection for Instruction-Tuned Large Language Models.

Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin

CoRR, 2023

2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Towards Robust Neural Retrieval Models with Synthetic Pre-Training.

Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil

CoRR, 2021

Using Paralinguistic Information to Disambiguate User Intentions for Distinguishing Phrase Structure and Sarcasm in Spoken Dialog Systems.

Zhengyu Zhou, In Gyu Choi, Yongliang He, Vikas Yadav, Chin-Hui Lee

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading.

Hoang Van, Vikas Yadav, Mihai Surdeanu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering.

Vikas Yadav, Steven Bethard, Mihai Surdeanu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Evidence Retrieval for Explainable Question Answering.

Vikas Yadav

PhD thesis, 2020

Distributed Stopping Criterion for Consensus in the Presence of Delays.

Mangal Prakash, Saurav Talukdar, Sandeep Attree, Vikas Yadav, Murti V. Salapaka

IEEE Trans. Control. Netw. Syst., 2020

SCOUT: Signal Correction and Uncertainty Quantification Toolbox in MATLAB.

Richard Semaan, Vikas Yadav

SoftwareX, 2020

Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match.

Vikas Yadav, Steven Bethard, Mihai Surdeanu

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering.

Vikas Yadav, Steven Bethard, Mihai Surdeanu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities.

Vikas Yadav, Egoitz Laparra, Ti-Tai Wang, Mihai Surdeanu, Steven Bethard

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Alignment over Heterogeneous Embeddings for Question Answering.

Vikas Yadav, Steven Bethard, Mihai Surdeanu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.

Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, 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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering.

Vikas Yadav, Steven Bethard, Mihai Surdeanu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Deep Affix Features Improve Neural Named Entity Recognizers.

Vikas Yadav, Rebecca Sharp, Steven Bethard

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering.

Vikas Yadav, Rebecca Sharp, Mihai Surdeanu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

UArizona at the MADE1.0 NLP Challenge.

Dongfang Xu, Vikas Yadav, Steven Bethard

Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018

Where Are iSchools Heading?

Vikas Yadav, Farig Sadeque, P. Bryan Heidorn, Hong Cui

Proceedings of the Transforming Digital Worlds - 13th International Conference, 2018

Caption-Based Region Extraction in Images.

Palash Agrawal, Rahul Yadav, Vikas Yadav, Kanjar De, Partha Pratim Roy

Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models.

Vikas Yadav, Steven Bethard

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

A simulation based optimization approach for spare parts forecasting and selective maintenance.

Pankaj Sharma, Makarand S. Kulkarni, Vikas Yadav

Reliab. Eng. Syst. Saf., 2017

2016

High strain rate constitutive behavior of SAC105 and SAC305 leadfree solder during operation at high temperature.

Pradeep Lall, Di Zhang, Vikas Yadav, David Locker

Microelectron. Reliab., 2016

Text Extraction in Document Images: Highlight on Using Corner Points.

Vikas Yadav, Nicolas Ragot

Proceedings of the 12th IAPR Workshop on Document Analysis Systems, 2016

2014

Using Periodic Contacts for Efficient Routing in Delay Tolerant Networks.

Rugved Jathar, Vikas Yadav, Arobinda Gupta

Ad Hoc Sens. Wirel. Networks, 2014

2011

An Efficient Approach for Discovering Interesting Patterns from Biomedical Data.

Raj Singh, Vikas Yadav

Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011

2010

Architectures for Distributed Controller With Sub-Controller Communication Uncertainty.

Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris

IEEE Trans. Autom. Control., 2010

2008

Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise.

Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia

IEEE Trans. Autom. Control., 2008

2006

Probabilistic Approach to Modeling of 3D Objects using Silhouettes.

Ankur Jain, Vikas Yadav, Ankush Mittal, Sumit Gupta

J. Comput. Inf. Sci. Eng., 2006

Architectures for distributed control for performance optimization in presence of sub-controller communication noise.

Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka

Proceedings of the American Control Conference, 2006

2005

Distributed Architectures and Implementations of Observer Based Controllers for Performance Optimization.

Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka

Proceedings of the Intelligent Control, 2005

2003

Stabilization of nested systems with uncertain subsystem communication channels.

Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka

Proceedings of the 42nd IEEE Conference on Decision and Control, 2003