| LLM-QAT: Data-Free Quantization Aware Training for Large Language Models Z Liu, B Oguz, C Zhao, E Chang, P Stock, Y Mehdad, Y Shi, ... Findings of the Association for Computational Linguistics ACL 2024, 467–484, 2023 | 232 | 2023 |
| MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases Z Liu, C Zhao, F Iandola, C Lai, Y Tian, I Fedorov, Y Xiong, E Chang, ... Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | 68 | 2024 |
| SpinQuant--LLM quantization with learned rotations Z Liu, C Zhao, I Fedorov, B Soran, D Choudhary, R Krishnamoorthi, ... arXiv preprint arXiv:2405.16406, 2024 | 43 | 2024 |
| Automatic Mixed-Precision Quantization Search of BERT C Zhao, T Hua, Y Shen, Q Lou, H Jin Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 21 | 2021 |
| Interactive Topic Model with Enhanced Interpretability. J Wang, C Zhao, J Xiang, K Uchino IUI Workshops’19, 2019 | 19 | 2019 |
| LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding X Shen, Y Xiong, C Zhao, L Wu, J Chen, C Zhu, Z Liu, F Xiao, ... arXiv preprint arXiv:2410.17434, 2024 | 16 | 2024 |
| Agent-as-a-Judge: Evaluate Agents with Agents M Zhuge, C Zhao, D Ashley, W Wang, D Khizbullin, Y Xiong, Z Liu, ... arXiv preprint arXiv:2410.10934, 2024 | 15 | 2024 |
| On the Open Prompt Challenge in Conditional Audio Generation E Chang, S Srinivasan, M Luthra, PJ Lin, V Nagaraja, F Iandola, Z Liu, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition Y Li, Y Shangguan, Y Wang, L Lai, E Chang, C Zhao, Y Shi, V Chandra arXiv preprint arXiv:2402.13076, 2024 | 4 | 2024 |
| Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding T Hua, Y Shen, C Zhao, YC Hsu, H Jin Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 4 | 2021 |
| Revisiting Sample Size Determination in Natural Language Understanding E Chang, MH Rashid, PJ Lin, C Zhao, V Demberg, Y Shi, V Chandra Findings of the Association for Computational Linguistics: ACL 2023, 6716-6724, 2023 | 3 | 2023 |
| System and method for supervised contrastive learning for multi-modal tasks Z Changsheng, B Uzkent, Y Shen, H Jin US Patent App. 17/589,535, 2023 | 2 | 2023 |
| Towards Zero-Shot Multilingual Transfer for Code-Switched Responses TW Wu, C Zhao, E Chang, Y Shi, P Chuang, V Chandra, B Juang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 2 | 2023 |
| Systems and methods for automatic mixed-precision quantization search Z Changsheng, Y Shen, H Jin US Patent App. 17/090,542, 2022 | 1 | 2022 |
| ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization Z Liu, C Zhao, H Huang, S Chen, J Zhang, J Zhao, S Roy, L Jin, Y Xiong, ... arXiv preprint arXiv:2502.02631, 2025 | | 2025 |
| Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations I Fedorov, K Plawiak, L Wu, T Elgamal, N Suda, E Smith, H Zhan, J Chi, ... arXiv preprint arXiv:2411.17713, 2024 | | 2024 |
| Scaling Parameter-Constrained Language Models with Quality Data E Chang, M Paltenghi, Y Li, PJ Lin, C Zhao, P Huber, Z Liu, R Rabatin, ... arXiv preprint arXiv:2410.03083, 2024 | | 2024 |
| Target-Aware Language Modeling via Granular Data Sampling E Chang, PJ Lin, Y Li, C Zhao, D Kim, R Rabatin, Z Liu, Y Shi, V Chandra arXiv preprint arXiv:2409.14705, 2024 | | 2024 |
| Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications Y Li, C Zhao, H Lee, E Chang, Y Shi, V Chandra arXiv preprint arXiv:2405.15877, 2024 | | 2024 |
| FSD: Acoustic Echo Cancellation with Fewer Step Diffusion Y Liu, L Wan, Y Huang, M Sun, C Zhao, Z Ni, X Mei, Y Shi, F Metze Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 0 | | |
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