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Gantavya Bhatt
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2020 – today
- 2024
- [c6]Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak:
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) 2024: 6549-6560 - [i11]Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak:
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR abs/2401.06692 (2024) - [i10]Gantavya Bhatt, Arnav Das, Jeff A. Bilmes:
Deep Submodular Peripteral Networks. CoRR abs/2403.08199 (2024) - [i9]Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover:
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR abs/2404.00530 (2024) - [i8]Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar:
How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. CoRR abs/2410.15002 (2024) - 2023
- [j1]Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes:
Accelerating Batch Active Learning Using Continual Learning Techniques. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Akarsh Prabhakara, Tao Jin
, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar
High Resolution Point Clouds from mmWave Radar. ICRA 2023: 4135-4142 - [c4]Akarsh Prabhakara
RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. MobiCom 2023: 106:1-106:3 - [i7]Arnav Mohanty Das, Gantavya Bhatt, Megh Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes:
Accelerating Batch Active Learning Using Continual Learning Techniques. CoRR abs/2305.06408 (2023) - [i6]Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah
Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR abs/2311.14948 (2023) - 2022
- [c3]Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi:
Matryoshka Representation Learning. NeurIPS 2022 - [i5]Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder
Matryoshka Representations for Adaptive Deployment. CoRR abs/2205.13147 (2022) - [i4]Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghaei, Jeff A. Bilmes, Swarun Kumar
High Resolution Point Clouds from mmWave Radar. CoRR abs/2206.09273 (2022) - 2021
- [c2]Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP:
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN 2021: 1-8 - [i3]Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.:
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR abs/2102.05602 (2021) - 2020
- [c1]Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) 2020: 244-254 - [i2]Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR abs/2005.08199 (2020) - [i1]Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal:
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR abs/2010.04976 (2020)
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