Aditya Tomar - RankMe

15 papers A* 1A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Residual Context Diffusion Language Models. CoRR 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
2026	J	`jnl`	Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models. CoRR Rishabh Tiwari, Aditya Tomar, Udbhav Bamba, Monishwaran Maheswaran, Heng Yang, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models. CoRR Minseo Kim, Coleman Hooper, Aditya Tomar, Chenfeng Xu, Mehrdad Farajtabar, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context. CoRR Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya
2025	J	`jnl`	BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context. Trans. Assoc. Comput. Linguistics Aditya Tomar, Nihar Ranjan Sahoo, Pushpak Bhattacharyya
2025	J	`jnl`	Can Transformers Break Encryption Schemes via In-Context Learning? CoRR Jathin Korrapati, Patrick Mendoza, Aditya Tomar, Abein Abraham
2025	J	`jnl`	Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. CoRR 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
2025	J	`jnl`	Mathematics Isn't Culture-Free: Probing Cultural Gaps via Entity and Scenario Perturbations. CoRR Aditya Tomar, Nihar Ranjan Sahoo, Ashish R. Mittal, Rudra Murthy, Pushpak Bhattacharyya
2025	A*	`conf`	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. ICML Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	J	`jnl`	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. CoRR Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2025	—	`conf`	Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach. ACL (Findings) Aditya Tomar, V. Rudra Murthy, Pushpak Bhattacharyya
2025	J	`jnl`	Stereotype Detection as a Catalyst for Enhanced Bias Detection: A Multi-Task Learning Approach. CoRR Aditya Tomar, V. Rudra Murthy, Pushpak Bhattacharyya
2025	J	`jnl`	XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization. CoRR Aditya Tomar, Coleman Hooper, Minjae Lee, Haocheng Xi, Rishabh Tiwari, Wonjun Kang, Luca Manolache, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
2024	J	`jnl`	Automated Programmatic Performance Analysis of Parallel Programs. CoRR Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele
2024	A	`conf`	Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. SC 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