| Efficient methods for natural language processing: A survey M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ... TACL 2023, Transactions of the Association for Computational Linguistics 11 …, 2023 | 118 | 2023 |
| DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering Q Cao, H Trivedi, A Balasubramanian, N Balasubramanian ACL 2020, 2020 | 79 | 2020 |
| MobiRNN: Efficient recurrent neural network execution on mobile GPU Q Cao, N Balasubramanian, A Balasubramanian EMDL@MobiSys 2017, Proceedings of the 1st International Workshop on Deep …, 2017 | 76 | 2017 |
| OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework S Mehta, MH Sekhavat, Q Cao, M Horton, Y Jin, C Sun, I Mirzadeh, ... ES-FoMo@ICML2024, 2024 | 71* | 2024 |
| A survey for efficient open domain question answering Q Zhang, S Chen, D Xu, Q Cao, X Chen, T Cohn, M Fang ACL 2023, 2022 | 48 | 2022 |
| Towards Accurate and Reliable Energy Measurement of NLP Models Q Cao, A Balasubramanian, N Balasubramanian SustaiNLP@EMNLP 2020, 2020 | 41 | 2020 |
| Pumer: Pruning and merging tokens for efficient vision language models Q Cao, B Paranjape, H Hajishirzi ACL 2023, 2023 | 27 | 2023 |
| Uiwear: Easily adapting user interfaces for wearable devices J Xu*, Q Cao*, A Prakash, A Balasubramanian, DE Porter MobiCom 2017, Proceedings of the 23rd Annual International Conference on …, 2017 | 27 | 2017 |
| Deqa: On-device question answering Q Cao, N Weber, N Balasubramanian, A Balasubramanian MobiSys 2019, Proceedings of the 17th Annual International Conference on …, 2019 | 22 | 2019 |
| Apt: Adaptive pruning and tuning pretrained language models for efficient training and inference B Zhao, H Hajishirzi, Q Cao ICML 2024 (oral), 2024 | 21 | 2024 |
| IrEne: Interpretable Energy Prediction for Transformers Q Cao, YK Lal, H Trivedi, A Balasubramanian, N Balasubramanian ACL 2021, 2021 | 19 | 2021 |
| MobiVQA: Efficient On-Device Visual Question Answering Q Cao, P Khanna, ND Lane, A Balasubramanian UbiComp 2022, Proceedings of the ACM on Interactive, Mobile, Wearable and …, 2022 | 12 | 2022 |
| Are mobile dnn accelerators accelerating dnns? Q Cao, AE Irimiea, M Abdelfattah, A Balasubramanian, ND Lane EMDL@MobiSys 2021, Proceedings of the 5th International Workshop on Embedded …, 2021 | 9 | 2021 |
| Efficiency pentathlon: A standardized arena for efficiency evaluation H Peng, Q Cao, J Dodge, ME Peters, J Fernandez, T Sherborne, K Lo, ... arXiv preprint arXiv:2307.09701, 2023 | 5 | 2023 |
| Adanns: A framework for adaptive semantic search A Rege, A Kusupati, A Fan, Q Cao, S Kakade, P Jain, A Farhadi NeurIPS 2023, Advances in Neural Information Processing Systems 36, 76311-76335, 2023 | 4 | 2023 |
| Efficient vision-language models by summarizing visual tokens into compact registers Y Wen, Q Cao, Q Fu, S Mehta, M Najibi arXiv preprint arXiv:2410.14072, 2024 | 2 | 2024 |
| BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models Q Cao, S Min, Y Wang, H Hajishirzi ICLR 2024 (spotlight), 2023 | 2 | 2023 |
| CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning Q Cao, M Najibi, S Mehta arXiv preprint arXiv:2410.11963, 2024 | 1 | 2024 |
| IrEne-viz: Visualizing Energy Consumption of Transformer Models YK Lal, R Singh, H Trivedi, Q Cao, A Balasubramanian, ... Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 1 | 2021 |
| Bew: Towards Answering Business-Entity-Related Web Questions Q Cao, O Riva, A Balasubramanian, N Balasubramanian arXiv preprint arXiv:2012.05818, 2020 | 1 | 2020 |
Niranjan BalasubramanianAssistant Professor, Computer Science, Stony Brook UniversityVerified email at cs.stonybrook.edu
