A genetic algorithm for assembling optical computers using faulty optical arrays. - C. P. Ravikumar; Augustine R. Thomas; Abhay Gupta (HiPC, 1996)

Implementing Java Computing: Sun on Architecture and Applications Development. - Abhay Gupta; Chris Ferris; Yvonne Wilson; Katni Venkatasubramanian (IEEE Internet Comput., 1998)

MR-LEGOS: a refined MapReduce model. - Ahmed Radwan; Akmal A. Younis; Santhosh Srinivasan; Abhay Gupta (Int. J. Cloud Comput., 2011)

Auto-Configuration of SDN Switches in SDN/Non-SDN Hybrid Network. - Rohit Katiyar; Prakash Pawar; Abhay Gupta; Kotaro Kataoka (AINTEC, 2015)

Approximating Wisdom of Crowds using K-RBMs. - Abhay Gupta (CoRR, 2016)

DAISEE: Dataset for Affective States in E-Learning Environments. - Abhay Gupta; Richik Jaiswal; Sagar Adhikari; Vineeth Balasubramanian (CoRR, 2016)

Scalable Window Generation for the Intel Broadwell+Arria 10 and High-Bandwidth FPGA Systems. - Greg Stitt; Abhay Gupta; Madison N. Emas; David Wilson 004; Austin Baylis (FPGA, 2018)

Guaranteed Delivery of Advertisements to Targeted Audiences Under Deduplication and Frequency Capping Constraints. - Abhay Gupta; Ayush Bhatnagar; Aditya Ramana Rachakonda; Ravindra Chittapur (DASFAA (2), 2020)

Human Activity Recognition Using Pose Estimation and Machine Learning Algorithm. - Abhay Gupta; Kuldeep Gupta; Kshama Gupta; Kapil Gupta (ISIC, 2021)

COVID-19 disease identification from chest CT images using empirical wavelet transformation and transfer learning. - Pramod Gaur; Vatsal Malaviya; Abhay Gupta; Gautam Bhatia; Ram Bilas Pachori; Divyesh Sharma (Biomed. Signal Process. Control., 2022)

RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network. - Vitaliy Chiley; Vithursan Thangarasa; Abhay Gupta; Anshul Samar; Joel Hestness; Dennis DeCoste (MLSys, 2023)

SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. - Vithursan Thangarasa; Abhay Gupta; William Marshall; Tianda Li; Kevin Leong; Dennis DeCoste; Sean Lie; Shreyas Saxena (UAI, 2023)

Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. - Shreyas Saxena; Vithursan Thangarasa; Abhay Gupta; Sean Lie (CoRR, 2023)

Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency. - Vithursan Thangarasa; Shreyas Saxena; Abhay Gupta; Sean Lie (ICML, 2024)

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment. - Abhinav Agarwalla; Abhay Gupta; Alexandre Noll Marques; Shubhra Pandit; Michael Goin; Eldar Kurtic; Kevin Leong; Tuan Nguyen; Mahmoud Salem; Dan Alistarh; Sean Lie; Mark Kurtz (CoRR, 2024)

AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark. - Abhay Gupta; Philip Meng; Ece Yurtseven; Sean O'Brien; Kevin Zhu (CoRR, 2024)

μnit Scaling: Simple and Scalable FP8 LLM Training. - Saaketh Narayan; Abhay Gupta; Mansheej Paul; Davis W. Blalock (CoRR, 2025)

EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models. - Abhay Gupta; Jacob Cheung; Philip Meng; Shayan Sayyed; Austen Liao; Kevin Zhu; Sean O'Brien (CoRR, 2025)

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts. - Abhay Gupta; Michael Lu; Kevin Zhu; Sean O'Brien; Vasu Sharma (CoRR, 2025)

RADIANT: Retrieval AugmenteD entIty-context AligNmenT - Introducing RAG-ability and Entity-Context Divergence. - Vipula Rawte; Rajarshi Roy 007; Gurpreet Singh; Danush Khanna; Yaswanth Narsupalli; Basab Ghosh; Abhay Gupta; Argha Kamal Samanta; Aditya Shingote; Aadi Krishna Vikram; Vinija Jain; Aman Chadha; et al. (CoRR, 2025)