Vaibhav Singh

37 papers A* 1A 1B 2Misc 2Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Chow-Liu Ordering for Long-Context Reasoning in Chain-of-Agents.
CoRR
Naman Gupta, Vaibhav Singh, Arun Iyer, Kirankumar Shiragur, Pratham Grover, Ramakrishna B. Bairi, Ritabrata Maiti, Sankarshan Damle, Shachee Mishra Gupta, Rishikesh Maurya, Vageesh D. C.
2026 J jnl
Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention.
Trans. Mach. Learn. Res.
Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
2026 J jnl
Safety Recovery in Reasoning Models Is Only a Few Early Steering Steps Away.
CoRR
Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
2025 — conf
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification.
NAACL (Findings)
Yaswanth M, Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan
2025 J jnl
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification.
CoRR
Yashwanth M., Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan
2025 J jnl
Accelerating Physical Property Reasoning for Augmented Visual Cognition.
CoRR
Hongbo Lan, Zhenlin An, Haoyu Li, Vaibhav Singh, Longfei Shangguan
2025 J jnl
BERTO: an Adaptive BERT-based Network Time Series Predictor with Operator Preferences in Natural Language.
CoRR
Nitin Priyadarshini Shankar, Vaibhav Singh, Sheetal Kalyani, Christian Maciocco
2025 J jnl
Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training.
CoRR
Vaibhav Singh, Paul Janson, Paria Mehrbod, Adam Ibrahim, Irina Rish, Eugene Belilovsky, Benjamin Thérien
2025 J jnl
Breaking the Bottleneck with DiffuApriel: High-Throughput Diffusion LMs with Mamba Backbone.
CoRR
Vaibhav Singh, Oleksiy Ostapenko, Pierre-André Noël, Torsten Scholak
2025 A* conf
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment.
CVPR
Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2025 J jnl
KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning.
CoRR
Vaibhav Singh, Soumya Suvra Ghosal, Kapu Nirmal Joshua, Soumyabrata Pal, Sayak Ray Chowdhury
2025 J jnl
Model Parallelism With Subnetwork Data Parallelism.
CoRR
Vaibhav Singh, Zafir Khalid, Edouard Oyallon, Eugene Belilovsky
2025 — conf
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples.
EMNLP (Findings)
Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh, Soumyabrata Pal, Subhadip Baidya, Sriparna Saha, Dinesh Manocha
2025 J jnl
Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples.
CoRR
Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh, Soumyabrata Pal, Subhadip Baidya, Sriparna Saha, Dinesh Manocha
2025 J jnl
When Data Falls Short: Grokking Below the Critical Threshold.
CoRR
Vaibhav Singh, Eugene Belilovsky, Rahaf Aljundi
2024 J jnl
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs.
CoRR
Vaibhav Singh, Amrith Krishna, Karthika NJ, Ganesh Ramakrishnan
2024 — conf
Comparative analysis of VGG16, Inception V4, AlexNet, and ResNet 50 for Plant Disease Identification.
ICCCNT
Utkarsh Arora, Upendra Mishra, Samaira Singh, Vaibhav Singh
2024 J jnl
Controlling Forgetting with Test-Time Data in Continual Learning.
CoRR
Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
2024 — conf
Effective AI/ML Training using Submodular Cell Selection for Network Energy Saving.
ICC Workshops
Vaibhav Singh, Christian Maciocco
2024 J jnl
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment.
CoRR
Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi
2024 J jnl
Machine learning approaches for automatic defect detection in photovoltaic systems.
CoRR
Swayam Rajat Mohanty, Moin Uddin Maruf, Vaibhav Singh, Zeeshan Ahmad
2024 Misc conf
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things.
NSDI
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht, Ranveer Chandra
2024 — conf
Wake-Sleep Energy Based Models for Continual Learning.
CVPR Workshops
Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du
2023 — conf
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work.
HHAI
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer
2023 J jnl
A prototype hybrid prediction market for estimating replicability of published work.
CoRR
Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer
2023 A conf
Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration.
AAMAS
Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles
2023 J jnl
Exploiting Satellite Doppler for Reliable and Faster Data Download in IoT Satellite Networks.
GetMobile Mob. Comput. Commun.
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht, Ranveer Chandra
2022 J jnl
Artificial prediction markets present a novel opportunity for human-AI collaboration.
CoRR
Tatiana Chakravorti, Vaibhav Singh, Sarah Rajmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles
2022 Misc conf
Design and Implementation for a Duplex Visible Light Communication Link.
COMSNETS
Anjali Gupta, Vaibhav Singh, Mayank Gautam, Abhishek Dixit
2022 B conf
Error Correction Code Algorithm and Implementation Verification Using Symbolic Representations.
FMCAD
Aarti Gupta, Roope Kaivola, Mihir Parang Mehta, Vaibhav Singh
2022 B conf
Intelligent RAN Power Saving using Balanced Model Training in Cellular Networks.
WiOpt
Vaibhav Singh, Maruti Gupta, Christian Maciocco
2021 J jnl
Conversion of two dimensional images into multi-view images of bone using deep learning.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Nitesh Pradhan, Vaibhav Singh, Virat Kumar, Parth Goel, Vijaypal Singh Dhaka
2021 J jnl
Noise Reduction in VCSEL Based Wavelength Division Multiplexing System.
Wirel. Pers. Commun.
S. Krithiga, Vidhyacharan Bhaskar, S. Malarvizhi, Vaibhav Singh
2019 — conf
Empirical Analysis of Shallow and Deep Architecture Classifiers on Emotion Recognition from Speech.
CSCloud/EdgeCom
Vaibhav Singh, Kapil Sharma
2018 J jnl
Deep Gaussian Processes with Convolutional Kernels.
CoRR
Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou
2012 J jnl
Monitoring the performance of conveyor system using radio frequency identification in manufacturing environment: a recurrent neural network and genetic algorithm-based approach.
Int. J. Comput. Integr. Manuf.
Vaibhav Singh, Faizan Sarwar, Felix T. S. Chan, M. K. Tiwari
2010 J jnl
A new predictive dynamic priority scheduling in Ethernet passive optical networks (EPONs).
Opt. Switch. Netw.
Swades De, Vaibhav Singh, Hari Mohan Gupta, Navrati Saxena, Abhishek Roy