Sadhika Malladi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Ad Hoc Information Retrieval

Top Venues

Publications

Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. CoRR (2024)
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen
LESS: Selecting Influential Data for Targeted Instruction Tuning. CoRR (2024)
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
The Marginal Value of Momentum for Small Learning Rate SGD. ICLR (2024)
Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho
Preference Learning Algorithms Do Not Learn Preference Rankings. CoRR (2024)
Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR (2024)
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
Fine-Tuning Language Models with Just Forward Passes. NeurIPS (2023)
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
Fine-Tuning Language Models with Just Forward Passes. CoRR (2023)
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
A Kernel-Based View of Language Model Fine-Tuning. ICML (2023)
Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora
Trainable Transformer in Transformer. CoRR (2023)
Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li
The Marginal Value of Momentum for Small Learning Rate SGD. CoRR (2023)
Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms. NeurIPS (2022)
Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms. CoRR (2022)
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora
A Kernel-Based View of Language Model Fine-Tuning. CoRR (2022)
Nikunj Saunshi, Sadhika Malladi, Sanjeev Arora
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks. ICLR (2021)
Zhiyuan Li, Sadhika Malladi, Sanjeev Arora
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs). CoRR (2021)
Zhiyuan Li, Sadhika Malladi, Sanjeev Arora
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs). NeurIPS (2021)
Nikunj Saunshi, Sadhika Malladi, Sanjeev Arora
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks. CoRR (2020)
Sheida Nabavi, Daniel Schmolze, Mayinuer Maitituoheti, Sadhika Malladi, Andrew H. Beck
EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes. Bioinform. 32 (4) (2016)