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2020 – today
- 2025
[c3]Aditya Tomar, V. Rudra Murthy, Pushpak Bhattacharyya:
Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach. ACL (Findings) 2025: 17304-17317- [c2]Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. ICML 2025 - [i9]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:
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. CoRR abs/2502.08145 (2025) - [i8]Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. CoRR abs/2502.10424 (2025) - [i7]Aditya Tomar, Nihar Ranjan Sahoo, Ashish R. Mittal, Rudra Murthy, Pushpak Bhattacharyya:
Mathematics Isn't Culture-Free: Probing Cultural Gaps via Entity and Scenario Perturbations. CoRR abs/2507.00883 (2025) - [i6]Aditya Tomar, V. Rudra Murthy, Pushpak Bhattacharyya:
Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach. CoRR abs/2507.01715 (2025) - [i5]Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya:
BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context. CoRR abs/2508.07090 (2025) - [i4]Jathin Korrapati, Patrick Mendoza, Aditya Tomar, Abein Abraham:
Can Transformers Break Encryption Schemes via In-Context Learning? CoRR abs/2508.10235 (2025) - [i3]Aditya Tomar, Coleman Hooper, Minjae Lee, Haocheng Xi, Rishabh Tiwari, Wonjun Kang, Luca Manolache, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization. CoRR abs/2508.10395 (2025) - [i2]Minseo Kim, Coleman Hooper, Aditya Tomar, Chenfeng Xu, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models. CoRR abs/2510.04146 (2025) - 2024
- [c1]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:
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. SC 2024: 4 - [i1]Onur Cankur, Aditya Tomar, Daniel Nichols
, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele:
Automated Programmatic Performance Analysis of Parallel Programs. CoRR abs/2401.13150 (2024)
Coauthor Index
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