Liang, Weixin

21 publications

ICML 2025 Adaptive Self-Improvement LLM Agentic System for ML Library Development Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun

ICLRW 2025 Adaptive Self-Improvement LLM Agentic System for ML Library Development Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun

NeurIPS 2025 From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review Yaohui Zhang, Haijing Zhang, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, Weixin Liang

NeurIPS 2025 LMFusion: Adapting Pretrained Language Models for Multimodal Generation Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Victoria Lin, Luke Zettlemoyer, Lili Yu

ICLRW 2025 Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity Weixin Liang, Junhong Shen, Genghan Zhang, Ning Dong, Luke Zettlemoyer, Lili Yu

TMLR 2025 Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin

ICLRW 2025 Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin

ICLRW 2025 Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Xi Victoria Lin

NeurIPS 2025 ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code Tianyu Hua, Harper Hua, Violet Xiang, Benjamin Klieger, Sang T. Truong, Weixin Liang, Fan-Yun Sun, Nick Haber

ICML 2024 Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel Mcfarland, James Y. Zou

ICLR 2024 Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace Xinyu Yang, Weixin Liang, James Zou

ICML 2023 Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou

ICLRW 2023 GPT Detectors Are Biased Against Non-Native English Writers Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou

NeurIPSW 2023 Navigating Dataset Documentation in ML: A Large-Scale Analysis of Dataset Cards on Hugging Face Xinyu Yang, Weixin Liang, James Zou

NeurIPS 2023 OpenDataVal: A Unified Benchmark for Data Valuation Kevin Jiang, Weixin Liang, James Y Zou, Yongchan Kwon

ICML 2022 Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn

ICMLW 2022 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts Weixin Liang, Xinyu Yang, James Y. Zou

ICLR 2022 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang, James Zou

ICMLW 2022 Mind the Gap: Understanding the Modality Gap in Multi-Modal Contrastive Representation Learning Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Zou

ICMLW 2022 On the Nonlinear Correlation of ML Performance Across Data Subpopulations Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou

AAAI 2020 MOSS: End-to-End Dialog System Framework with Modular Supervision Weixin Liang, Youzhi Tian, Chengcai Chen, Zhou Yu