Vikas Yadav

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 42

Top Topics

High Temperature

Text Extraction

Question Answer

Top Venues

Publications

Vikas Yadav, Zheng Tang, Vijay Srinivasan
PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. SIGIR (2024)
Vikas Yadav, Zheng Tang, Vijay Srinivasan
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. CoRR (2024)
Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR (2024)
Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING (2024)
Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT (2024)
Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan
Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences. CoRR (2024)
Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. CoRR (2024)
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR (2024)
Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. CoRR (2024)
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 (2024)
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR (2023)
Avaneesh Kumar Yadav, Animesh Sharma, Vikas Yadav, Neha Kalia
Rfpssih: reducing false positive text detection sequels in scenery images using hybrid technique. Int. J. Syst. Assur. Eng. Manag. 14 (6) (2023)
Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR (2023)
Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning. COLING (2022)
Zhengyu Zhou, In Gyu Choi, Yongliang He, Vikas Yadav, Chin-Hui Lee
Using Paralinguistic Information to Disambiguate User Intentions for Distinguishing Phrase Structure and Sarcasm in Spoken Dialog Systems. SLT (2021)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. NAACL-HLT (2021)
Hoang Van, Vikas Yadav, Mihai Surdeanu
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. SIGIR (2021)
Hoang Van, Vikas Yadav, Mihai Surdeanu
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. CoRR (2021)
Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil
Towards Robust Neural Retrieval Models with Synthetic Pre-Training. CoRR (2021)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. CoRR (2020)
Mangal Prakash, Saurav Talukdar, Sandeep Attree, Vikas Yadav, Murti V. Salapaka
Distributed Stopping Criterion for Consensus in the Presence of Delays. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Richard Semaan, Vikas Yadav
SCOUT: Signal Correction and Uncertainty Quantification Toolbox in MATLAB. SoftwareX 11 (2020)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. SIGIR (2020)
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. LREC (2020)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. ACL (2020)
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
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) (2019)
Vikas Yadav, Steven Bethard
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. CoRR (2019)
Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. CoRR (2019)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Alignment over Heterogeneous Embeddings for Question Answering. NAACL-HLT (1) (2019)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. EMNLP/IJCNLP (1) (2019)
Vikas Yadav, Egoitz Laparra, Ti-Tai Wang, Mihai Surdeanu, Steven Bethard
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities. SemEval@NAACL-HLT (2019)
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. CoRR (2019)
Dongfang Xu, Vikas Yadav, Steven Bethard
UArizona at the MADE1.0 NLP Challenge. Medication and Adverse Drug Event Detection (2018)
Vikas Yadav, Steven Bethard
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. COLING (2018)
Vikas Yadav, Farig Sadeque, P. Bryan Heidorn, Hong Cui
Where Are iSchools Heading? iConference (2018)
Vikas Yadav, Rebecca Sharp, Steven Bethard
Deep Affix Features Improve Neural Named Entity Recognizers. *SEM@NAACL-HLT (2018)
Palash Agrawal, Rahul Yadav, Vikas Yadav, Kanjar De, Partha Pratim Roy
Caption-Based Region Extraction in Images. CVIP (2) (2018)
Vikas Yadav, Rebecca Sharp, Mihai Surdeanu
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. CoRR (2018)
Vikas Yadav, Rebecca Sharp, Mihai Surdeanu
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. SIGIR (2018)
Pankaj Sharma, Makarand S. Kulkarni, Vikas Yadav
A simulation based optimization approach for spare parts forecasting and selective maintenance. Reliab. Eng. Syst. Saf. 168 (2017)
Pradeep Lall, Di Zhang, Vikas Yadav, David Locker
High strain rate constitutive behavior of SAC105 and SAC305 leadfree solder during operation at high temperature. Microelectron. Reliab. 62 (2016)
Vikas Yadav, Nicolas Ragot
Text Extraction in Document Images: Highlight on Using Corner Points. DAS (2016)
Rugved Jathar, Vikas Yadav, Arobinda Gupta
Using Periodic Contacts for Efficient Routing in Delay Tolerant Networks. Ad Hoc Sens. Wirel. Networks 21 (3-4) (2014)
Raj Singh, Vikas Yadav
An Efficient Approach for Discovering Interesting Patterns from Biomedical Data. BICoB (2011)
Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris
Architectures for Distributed Controller With Sub-Controller Communication Uncertainty. IEEE Trans. Autom. Control. 55 (8) (2010)
Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia
Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise CoRR (2008)
Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia
Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise. IEEE Trans. Autom. Control. 53 (8) (2008)
Ankur Jain, Vikas Yadav, Ankush Mittal, Sumit Gupta
Probabilistic Approach to Modeling of 3D Objects using Silhouettes. J. Comput. Inf. Sci. Eng. 6 (4) (2006)
Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka
Architectures for distributed control for performance optimization in presence of sub-controller communication noise. ACC (2006)
Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka
Distributed Architectures and Implementations of Observer Based Controllers for Performance Optimization. ISIC (2005)
Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris
Distributed architectures and implementations of observer based controllers for performance optimization. ACC (2005)
Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia
Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise. CDC/ECC (2005)
Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka
Stabilization of nested systems with uncertain subsystem communication channels. CDC (2003)