Vikas Yadav - RankMe

82 papers A* 8B 5C 2Journal 42Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs. AAAI Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav
2026	J	`jnl`	Error Taxonomy-Guided Prompt Optimization. CoRR Mayank Singh, Vikas Yadav, Eduardo Blanco
2025	J	`jnl`	A Toolbox, Not a Hammer - Multi-TAG: Scaling Math Reasoning with Multi-Tool Aggregation. CoRR Bohan Yao, Vikas Yadav
2025	J	`jnl`	ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems. CoRR Bohan Yao, Shiva Krishna Reddy Malay, Vikas Yadav
2025	J	`jnl`	Apriel-1.5-15b-Thinker. CoRR Shruthan Radhakrishna, Aman Tiwari, Aanjaneya Shukla, Masoud Hashemi, Rishabh Maheshwary, Shiva Krishna Reddy Malay, Jash Mehta, Pulkit Pattnaik, Saloni Mittal, Khalil Slimi, Kelechi Ogueji, Akintunde Oladipo, Soham Parikh, Oluwanifemi Bamgbose, Toby Liang, Ahmed Masry, Khyati Mahajan, Sai Rajeswar Mudumba, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sagar Davasam, Srinivas Sunkara, Nicolas Chapados
2025	J	`jnl`	Apriel-Nemotron-15B-Thinker. CoRR Shruthan Radhakrishna, Soham Parikh, Gopal Sarda, Anil Turkkan, Quaizar Vohra, Raymond Li, Dhruv Jhamb, Kelechi Ogueji, Aanjaneya Shukla, Oluwanifemi Bamgbose, Toby Liang, Luke Kumar, Oleksiy Ostapenko, Shiva Krishna Reddy Malay, Aman Tiwari, Tara Bogavelli, Vikas Yadav, Jash Mehta, Saloni Mittal, Akshay Kalkunte, Pulkit Pattnaik, Khalil Slimi, Anirudh Sreeram, Jishnu Sethumadhavan Nair, Akintunde Oladipo, Shashank Maiya, Khyati Mahajan, Rishabh Maheshwary, Masoud Hashemi, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sébastien Paquet, Sagar Davasam, Srinivas Sunkara
2025	J	`jnl`	Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA. CoRR Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Spandana Gella, Vikas Yadav
2025	—	`conf`	Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework. NAACL (Short Papers) Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan
2025	J	`jnl`	BigCharts-R1: Enhanced Chart Reasoning with Visual Reinforcement Finetuning. CoRR Ahmed Masry, Abhay Puri, Masoud Hashemi, Juan A. Rodríguez, Megh Thakkar, Khyati Mahajan, Vikas Yadav, Sathwik Tejaswi Madhusudhan, Alexandre Piché, Dzmitry Bahdanau, Christopher Pal, David Vázquez, Enamul Hoque, Perouz Taslakian, Sai Rajeswar, Spandana Gella
2025	J	`jnl`	Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models. CoRR Meghana Arakkal Rajeev, Rajkumar Ramamurthy, Prapti Trivedi, Vikas Yadav, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, James Zou, Nazneen Rajani
2025	—	`conf`	ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. EMNLP (Findings) Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav, Liangming Pan
2025	J	`jnl`	ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models. CoRR Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav, Liangming Pan
2025	J	`jnl`	CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality. CoRR Razvan-Gabriel Dumitru, Minglai Yang, Vikas Yadav, Mihai Surdeanu
2025	A*	`conf`	CopySpec: Accelerating LLMs with Speculative Copy-and-Paste. EMNLP Razvan-Gabriel Dumitru, Minglai Yang, Vikas Yadav, Mihai Surdeanu
2025	J	`jnl`	DNA Bench: When Silence is Smarter - Benchmarking Over-Reasoning in Reasoning LLMs. CoRR Masoud Hashemi, Oluwanifemi Bamgbose, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav
2025	—	`conf`	Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning. EMNLP (Findings) Bohan Yao, Vikas Yadav
2025	B	`conf`	Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. COLING Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi
2025	J	`jnl`	Grammar Search for Multi-Agent Systems. CoRR Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, Shravan Nayak, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Eduardo Blanco
2025	—	`conf`	M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. NAACL (Long Papers) Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan
2025	—	`conf`	Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages. NAACL (Long Papers) Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Julian Salazar, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2025	J	`jnl`	RF-PINNs: Reactive flow physics-informed neural networks for field reconstruction of laminar and turbulent flames using sparse data. J. Comput. Phys. Vikas Yadav, Mario Casel, Abdulla Ghani
2025	J	`jnl`	Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance. CoRR Bryan Etzine, Masoud Hashemi, Nishanth Madhusudhan, Sagar Davasam, Roshnee Sharma, Sathwik Tejaswi Madhusudhan, Vikas Yadav
2025	—	`conf`	Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs. ACL (Findings) Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu
2024	A*	`conf`	AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2024	—	`conf`	Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
2024	—	`conf`	Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy. EMNLP (Findings) Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu
2024	J	`jnl`	Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy. CoRR Razvan-Gabriel Dumitru, Paul-Ioan Clotan, Vikas Yadav, Darius Peteleaza, Mihai Surdeanu
2024	J	`jnl`	Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences. CoRR Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan
2024	J	`jnl`	Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. CoRR Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi
2024	—	`conf`	Enhancing Alignment using Curriculum Learning & Ranked Preferences. EMNLP (Findings) Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan
2024	J	`jnl`	Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
2024	—	`conf`	Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin
2024	J	`jnl`	Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels. CoRR Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu
2024	J	`jnl`	M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. CoRR Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan
2024	A*	`conf`	PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. SIGIR Vikas Yadav, Zheng Tang, Vijay Srinivasan
2024	J	`jnl`	Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. CoRR Vikas Yadav, Zheng Tang, Vijay Srinivasan
2024	J	`jnl`	Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages. CoRR Hoang Nguyen, Khyati Mahajan, Vikas Yadav, Philip S. Yu, Masoud Hashemi, Rishabh Maheshwary
2024	J	`jnl`	SynthCypher: A Fully Synthetic Data Generation Framework for Text-to-Cypher Querying in Knowledge Graphs. CoRR Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan
2023	J	`jnl`	AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
2023	J	`jnl`	Rfpssih: reducing false positive text detection sequels in scenery images using hybrid technique. Int. J. Syst. Assur. Eng. Manag. Avaneesh Kumar Yadav, Animesh Sharma, Vikas Yadav, Neha Kalia
2023	J	`jnl`	Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
2022	B	`conf`	Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning. COLING Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil
2021	A*	`conf`	Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. SIGIR Hoang Van, Vikas Yadav, Mihai Surdeanu
2021	J	`jnl`	Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. CoRR Hoang Van, Vikas Yadav, Mihai Surdeanu
2021	—	`conf`	If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. NAACL-HLT Vikas Yadav, Steven Bethard, Mihai Surdeanu
2021	J	`jnl`	Towards Robust Neural Retrieval Models with Synthetic Pre-Training. CoRR Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil
2021	—	`conf`	Using Paralinguistic Information to Disambiguate User Intentions for Distinguishing Phrase Structure and Sarcasm in Spoken Dialog Systems. SLT Zhengyu Zhou, In Gyu Choi, Yongliang He, Vikas Yadav, Chin-Hui Lee
2020	J	`jnl`	Distributed Stopping Criterion for Consensus in the Presence of Delays. IEEE Trans. Control. Netw. Syst. Mangal Prakash, Saurav Talukdar, Sandeep Attree, Vikas Yadav, Murti V. Salapaka
2020	—	`—`	Evidence Retrieval for Explainable Question Answering. Vikas Yadav
2020	A*	`conf`	Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. SIGIR Vikas Yadav, Steven Bethard, Mihai Surdeanu
2020	B	`conf`	Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. LREC Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
2020	J	`jnl`	SCOUT: Signal Correction and Uncertainty Quantification Toolbox in MATLAB. SoftwareX Richard Semaan, Vikas Yadav
2020	A*	`conf`	Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. ACL Vikas Yadav, Steven Bethard, Mihai Surdeanu
2020	J	`jnl`	Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering. CoRR Vikas Yadav, Steven Bethard, Mihai Surdeanu
2019	J	`jnl`	A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. CoRR Vikas Yadav, Steven Bethard
2019	—	`conf`	Alignment over Heterogeneous Embeddings for Question Answering. NAACL-HLT (1) Vikas Yadav, Steven Bethard, Mihai Surdeanu
2019	—	`conf`	Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 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
2019	J	`jnl`	Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. CoRR Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark
2019	—	`conf`	Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. EMNLP/IJCNLP (1) Vikas Yadav, Steven Bethard, Mihai Surdeanu
2019	J	`jnl`	Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. CoRR Vikas Yadav, Steven Bethard, Mihai Surdeanu
2019	—	`conf`	University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities. SemEval@NAACL-HLT Vikas Yadav, Egoitz Laparra, Ti-Tai Wang, Mihai Surdeanu, Steven Bethard
2018	B	`conf`	A Survey on Recent Advances in Named Entity Recognition from Deep Learning models. COLING Vikas Yadav, Steven Bethard
2018	—	`conf`	Caption-Based Region Extraction in Images. CVIP (2) Palash Agrawal, Rahul Yadav, Vikas Yadav, Kanjar De, Partha Pratim Roy
2018	—	`conf`	Deep Affix Features Improve Neural Named Entity Recognizers. *SEM@NAACL-HLT Vikas Yadav, Rebecca Sharp, Steven Bethard
2018	A*	`conf`	Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. SIGIR Vikas Yadav, Rebecca Sharp, Mihai Surdeanu
2018	J	`jnl`	Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. CoRR Vikas Yadav, Rebecca Sharp, Mihai Surdeanu
2018	—	`conf`	UArizona at the MADE1.0 NLP Challenge. Medication and Adverse Drug Event Detection Dongfang Xu, Vikas Yadav, Steven Bethard
2018	—	`conf`	Where Are iSchools Heading? iConference Vikas Yadav, Farig Sadeque, P. Bryan Heidorn, Hong Cui
2017	J	`jnl`	A simulation based optimization approach for spare parts forecasting and selective maintenance. Reliab. Eng. Syst. Saf. Pankaj Sharma, Makarand S. Kulkarni, Vikas Yadav
2016	J	`jnl`	High strain rate constitutive behavior of SAC105 and SAC305 leadfree solder during operation at high temperature. Microelectron. Reliab. Pradeep Lall, Di Zhang, Vikas Yadav, David Locker
2016	B	`conf`	Text Extraction in Document Images: Highlight on Using Corner Points. DAS Vikas Yadav, Nicolas Ragot
2014	J	`jnl`	Using Periodic Contacts for Efficient Routing in Delay Tolerant Networks. Ad Hoc Sens. Wirel. Networks Rugved Jathar, Vikas Yadav, Arobinda Gupta
2011	—	`conf`	An Efficient Approach for Discovering Interesting Patterns from Biomedical Data. BICoB Raj Singh, Vikas Yadav
2010	J	`jnl`	Architectures for Distributed Controller With Sub-Controller Communication Uncertainty. IEEE Trans. Autom. Control. Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris
2008	J	`jnl`	Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise CoRR Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia
2008	J	`jnl`	Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise. IEEE Trans. Autom. Control. Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia
2006	C	`conf`	Architectures for distributed control for performance optimization in presence of sub-controller communication noise. ACC Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka
2006	J	`jnl`	Probabilistic Approach to Modeling of 3D Objects using Silhouettes. J. Comput. Inf. Sci. Eng. Ankur Jain, Vikas Yadav, Ankush Mittal, Sumit Gupta
2005	—	`conf`	Distributed Architectures and Implementations of Observer Based Controllers for Performance Optimization. ISIC Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka
2005	C	`conf`	Distributed architectures and implementations of observer based controllers for performance optimization. ACC Vikas Yadav, Murti V. Salapaka, Petros G. Voulgaris
2005	—	`conf`	Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise. CDC/ECC Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M. Olson, Haifeng Liu, Nicola Elia
2003	—	`conf`	Stabilization of nested systems with uncertain subsystem communication channels. CDC Vikas Yadav, Petros G. Voulgaris, Murti V. Salapaka