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ORCIDVikas Yadav
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c30]Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin:
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING 2024: 6876-6882- [c29]Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu:
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy. EMNLP (Findings) 2024: 9912-9920 - [c28]Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan:
Enhancing Alignment using Curriculum Learning & Ranked Preferences. EMNLP (Findings) 2024: 12891-12907 - [c27]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 - [c26]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: 6065-6086 - [c25]Vikas Yadav
, Zheng Tang, Vijay Srinivasan:
PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. SIGIR 2024: 2569-2573 - [i16]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) - [i15]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) - [i14]Vikas Yadav, Zheng Tang, Vijay Srinivasan:
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. CoRR abs/2406.17163 (2024) - [i13]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) - [i12]Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin:
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR abs/2406.17990 (2024) - [i11]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) - 2023
- [j9]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): 2289-2300 (2023) - [i10]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 abs/2307.08701 (2023) - [i9]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 abs/2307.16888 (2023) - 2022
- [c24]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: 1065-1070 - 2021
- [c23]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: 4571-4581 - [c22]Hoang Van, Vikas Yadav, Mihai Surdeanu:
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. SIGIR 2021: 2116-2120 - [c21]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: 1020-1027 - [i8]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 abs/2104.07800 (2021) - [i7]Hoang Van, Vikas Yadav, Mihai Surdeanu:
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. CoRR abs/2106.04134 (2021) - 2020
- [b1]Vikas Yadav:
Evidence Retrieval for Explainable Question Answering. University of Arizona, Tucson, USA, 2020 - [j8]Richard Semaan, Vikas Yadav:
SCOUT: Signal Correction and Uncertainty Quantification Toolbox in MATLAB. SoftwareX 11: 100474 (2020) - [j7]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): 85-95 (2020) - [c20]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. ACL 2020: 4514-4525 - [c19]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: 5370-5382 - [c18]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: 1625-1628 - [i6]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. CoRR abs/2005.01218 (2020)
2010 – 2019
- 2019
- [c17]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: 2578-2589 - [c16]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: 42-47 - [c15]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Alignment over Heterogeneous Embeddings for Question Answering. NAACL-HLT (1) 2019: 2681-2691 - [c14]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: 1319-1323 - [i5]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 abs/1908.05441 (2019) - [i4]Vikas Yadav, Steven Bethard:
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. CoRR abs/1910.11470 (2019) - [i3]Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. CoRR abs/1911.07176 (2019) - 2018
- [c13]Vikas Yadav, Steven Bethard:
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. COLING 2018: 2145-2158 - [c12]Palash Agrawal, Rahul Yadav, Vikas Yadav, Kanjar De, Partha Pratim Roy:
Caption-Based Region Extraction in Images. CVIP (2) 2018: 27-38 - [c11]Vikas Yadav, Farig Sadeque, P. Bryan Heidorn, Hong Cui:
Where Are iSchools Heading? iConference 2018: 665-670 - [c10]Dongfang Xu, Vikas Yadav, Steven Bethard:
UArizona at the MADE1.0 NLP Challenge. Medication and Adverse Drug Event Detection 2018: 57-65 - [c9]Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. SIGIR 2018: 1217-1220 - [c8]Vikas Yadav, Rebecca Sharp, Steven Bethard:
Deep Affix Features Improve Neural Named Entity Recognizers. *SEM@NAACL-HLT 2018: 167-172 - [i2]Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. CoRR abs/1807.01836 (2018) - 2017
- [j6]Pankaj Sharma, Makarand S. Kulkarni, Vikas Yadav:
A simulation based optimization approach for spare parts forecasting and selective maintenance. Reliab. Eng. Syst. Saf. 168: 274-289 (2017) - 2016
- [j5]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: 4-17 (2016) - [c7]Vikas Yadav, Nicolas Ragot:
Text Extraction in Document Images: Highlight on Using Corner Points. DAS 2016: 281-286 - 2014
- [j4]Rugved Jathar, Vikas Yadav, Arobinda Gupta:
Using Periodic Contacts for Efficient Routing in Delay Tolerant Networks. Ad Hoc Sens. Wirel. Networks 21(3-4): 283-308 (2014) - 2011
- [c6]Raj Singh, Vikas Yadav:
An Efficient Approach for Discovering Interesting Patterns from Biomedical Data. BICoB 2011: 98-103 - 2010
- [j3]Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris:
Architectures for Distributed Controller With Sub-Controller Communication Uncertainty. IEEE Trans. Autom. Control. 55(8): 1765-1780 (2010)
2000 – 2009
- 2008
- [j2]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): 1817-1825 (2008) - [i1]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 abs/0808.3230 (2008) - 2006
- [j1]Ankur Jain, Vikas Yadav, Ankush Mittal, Sumit Gupta:
Probabilistic Approach to Modeling of 3D Objects using Silhouettes. J. Comput. Inf. Sci. Eng. 6(4): 381-389 (2006) - [c5]Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka:
Architectures for distributed control for performance optimization in presence of sub-controller communication noise. ACC 2006 - 2005
- [c4]Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka:
Distributed Architectures and Implementations of Observer Based Controllers for Performance Optimization. ISIC 2005: 1119-1124 - [c3]Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris:
Distributed architectures and implementations of observer based controllers for performance optimization. ACC 2005: 4844-4849 - [c2]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: 734-739 - 2003
- [c1]Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka:
Stabilization of nested systems with uncertain subsystem communication channels. CDC 2003: 2853-2858
Coauthor Index
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