CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation. - Devaansh Gupta; Siddhant Kharbanda; Jiawei Zhou; Wanhua Li 001; Hanspeter Pfister; Donglai Wei 001 (ICCV, 2023)

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. - Siddhant Kharbanda; Atmadeep Banerjee; Devaansh Gupta; Akash Palrecha; Rohit Babbar (SIGIR, 2023)

A Training Data Recipe to Accelerate A* Search with Language Models. - Devaansh Gupta; Boyang Li (EMNLP (Findings), 2024)

Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. - Siddhant Kharbanda; Devaansh Gupta; Erik Schultheis; Atmadeep Banerjee; Cho-Jui Hsieh; Rohit Babbar (KDD, 2024)

UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. - Siddhant Kharbanda; Devaansh Gupta; Gururaj K; Pankaj Malhotra; Cho-Jui Hsieh; Rohit Babbar (CoRR, 2024)

Learning label-label correlations in Extreme Multi-label Classification via Label Features. - Siddhant Kharbanda; Devaansh Gupta; Erik Schultheis; Atmadeep Banerjee; Cho-Jui Hsieh; Rohit Babbar (CoRR, 2024)

UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification. - Siddhant Kharbanda; Devaansh Gupta; Gururaj K; Pankaj Malhotra; Amit Singh 003; Cho-Jui Hsieh; Rohit Babbar (WWW, 2025)

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning. - Siyan Zhao; Devaansh Gupta; Qinqing Zheng; Aditya Grover (CoRR, 2025)