Interactive Topic Model with Enhanced Interpretability. - Jun Wang 018; Changsheng Zhao 002; Junfu Xiang; Kanji Uchino (IUI Workshops, 2019)

Automatic Mixed-Precision Quantization Search of BERT. - Changsheng Zhao 002; Ting Hua; Yilin Shen; Qian Lou; Hongxia Jin (IJCAI, 2021)

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. - Ting Hua; Yilin Shen; Changsheng Zhao 002; Yen-Chang Hsu; Hongxia Jin (NAACL-HLT, 2021)

Revisiting Sample Size Determination in Natural Language Understanding. - Ernie Chang; Muhammad Hassan Rashid; Pin-Jie Lin; Changsheng Zhao 002; Vera Demberg; Yangyang Shi; Vikas Chandra (ACL (Findings), 2023)

Towards Zero-Shot Multilingual Transfer for Code-Switched Responses. - Ting-Wei Wu; Changsheng Zhao 002; Ernie Chang; Yangyang Shi; Pierce Chuang; Vikas Chandra; Biing-Hwang Juang (ACL (1), 2023)

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. - Zechun Liu; Barlas Oguz; Changsheng Zhao 002; Ernie Chang; Pierre Stock; Yashar Mehdad; Yangyang Shi; Raghuraman Krishnamoorthi; Vikas Chandra (ACL (Findings), 2024)

Target-Aware Language Modeling via Granular Data Sampling. - Ernie Chang; Pin-Jie Lin; Yang Li 183; Changsheng Zhao 002; Daeil Kim; Rastislav Rabatin; Zechun Liu; Yangyang Shi; Vikas Chandra (EMNLP, 2024)

Scaling Parameter-Constrained Language Models with Quality Data. - Ernie Chang; Matteo Paltenghi; Yang Li 183; Pin-Jie Lin; Changsheng Zhao 002; Patrick Huber; Zechun Liu; Rastislav Rabatin; Yangyang Shi; Vikas Chandra (EMNLP (Industry Track), 2024)

On the Open Prompt Challenge in Conditional Audio Generation. - Ernie Chang; Sidd Srinivasan; Mahi Luthra; Pin-Jie Lin; Varun Nagaraja; Forrest N. Iandola; Zechun Liu; Zhaoheng Ni; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (ICASSP, 2024)

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. - Zechun Liu; Changsheng Zhao 002; Forrest N. Iandola; Chen Lai; Yuandong Tian; Igor Fedorov; Yunyang Xiong; Ernie Chang; Yangyang Shi; Raghuraman Krishnamoorthi; Liangzhen Lai; Vikas Chandra (ICML, 2024)

Not All Weights Are Created Equal: Enhancing Energy Efficiency in On-Device Streaming Speech Recognition. - Yang Li 183; Yuan Shangguan; Yuhao Wang; Liangzhen Lai; Ernie Chang; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (CoRR, 2024)

Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications. - Yang Li 183; Changsheng Zhao 002; Hyungtak Lee; Ernie Chang; Yangyang Shi; Vikas Chandra (CoRR, 2024)

Agent-as-a-Judge: Evaluate Agents with Agents. - Mingchen Zhuge; Changsheng Zhao 002; Dylan R. Ashley; Wenyi Wang; Dmitrii Khizbullin; Yunyang Xiong; Zechun Liu; Ernie Chang; Raghuraman Krishnamoorthi; Yuandong Tian; Yangyang Shi; Vikas Chandra; et al. (CoRR, 2024)

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. - Xiaoqian Shen; Yunyang Xiong; Changsheng Zhao 002; Lemeng Wu; Jun Chen 021; Chenchen Zhu; Zechun Liu; Fanyi Xiao; Balakrishnan Varadarajan; Florian Bordes; Zhuang Liu; Hu Xu 001; et al. (CoRR, 2024)

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations. - Igor Fedorov; Kate Plawiak; Lemeng Wu; Tarek Elgamal; Naveen Suda; Eric Smith; Hongyuan Zhan; Jianfeng Chi; Yuriy Hulovatyy; Kimish Patel; Zechun Liu; Changsheng Zhao 002; et al. (CoRR, 2024)

SpinQuant: LLM Quantization with Learned Rotations. - Zechun Liu; Changsheng Zhao 002; Igor Fedorov; Bilge Soran; Dhruv Choudhary; Raghuraman Krishnamoorthi; Vikas Chandra; Yuandong Tian; Tijmen Blankevoort (ICLR, 2025)

Breaking Down Power Barriers in On-Device Streaming ASR: Insights and Solutions. - Yang Li 183; Yuan Shangguan; Yuhao Wang; Liangzhen Lai; Ernie Chang; Changsheng Zhao 002; Yangyang Shi; Vikas Chandra (NAACL (Industry Track), 2025)

ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization. - Zechun Liu; Changsheng Zhao 002; Hanxian Huang; Sijia Chen; Jing Zhang; Jiawei Zhao; Scott Roy; Lisa Jin; Yunyang Xiong; Yangyang Shi; Lin Xiao; Yuandong Tian; et al. (CoRR, 2025)