Aditya Tomar

According to our database, Aditya Tomar authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models.

Haocheng Xi, Harman Singh, Yuezhou Hu, Coleman Hooper, Rishabh Tiwari, Aditya Tomar, Minjae Lee, Wonjun Kang, Michael W. Mahoney, Chenfeng Xu, Kurt Keutzer, Amir Gholami

CoRR, April, 2026

Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models.

Rishabh Tiwari, Aditya Tomar, Udbhav Bamba, Monishwaran Maheswaran, Heng Yang, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

CoRR, March, 2026

Residual Context Diffusion Language Models.

Yuezhou Hu, Harman Singh, Monishwaran Maheswaran, Haocheng Xi, Coleman Hooper, Jintao Zhang, Aditya Tomar, Michael W. Mahoney, Sewon Min, Mehrdad Farajtabar, Kurt Keutzer, Amir Gholami, Chenfeng Xu

CoRR, January, 2026

2025

Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models.

Minseo Kim, Coleman Hooper, Aditya Tomar, Chenfeng Xu, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

CoRR, October, 2025

XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization.

Aditya Tomar, Coleman Hooper, Minjae Lee, Haocheng Xi, Rishabh Tiwari, Wonjun Kang, Luca Manolache, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

CoRR, August, 2025

Can Transformers Break Encryption Schemes via In-Context Learning?

Jathin Korrapati, Patrick Mendoza, Aditya Tomar, Abein Abraham

CoRR, August, 2025

Mathematics Isn't Culture-Free: Probing Cultural Gaps via Entity and Scenario Perturbations.

Aditya Tomar, Nihar Ranjan Sahoo, Ashish R. Mittal, Rudra Murthy, Pushpak Bhattacharyya

CoRR, July, 2025

BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context.

Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya

Trans. Assoc. Comput. Linguistics, 2025

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache.

Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach.

Aditya Tomar, V. Rudra Murthy, Pushpak Bhattacharyya

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Automated Programmatic Performance Analysis of Parallel Programs.

Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele

CoRR, 2024

Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers.

Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele

Proceedings of the International Conference for High Performance Computing, 2024