Weixin Liang
- Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
2024/03/11 by Weixin Liang, Liang, Weixin, Zachary Izzo +22 · 25 voices · 43 citations
Medicine · #Artificial Intelligence in Healthcare and Education
- GPT detectors are biased against non-native English writers
2023/04/06 by Weixin Liang, Mert Yuksekgonul, Mert Yüksekgönül +9 · 13 voices · 27 citations
Medicine · Computer Science · Social Sciences · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Ethics and Social Impacts of AI
- The Widespread Adoption of Large Language Model-Assisted Writing Across Society
2025/02/13 by Weixin Liang, Yaohui Zhang, Liang, Weixin +9 · 17 voices · 24 citations
Computer Science · #Topic Modeling #cs.CL
- Can large language models provide useful feedback on research papers? A large-scale empirical analysis
2023/10/03 by Weixin Liang, Yuhui Zhang, Liang, Weixin +24 · 15 voices · 47 citations
Computer Science · Decision Sciences · Medicine · #Artificial Intelligence in Healthcare and Education #Scientific Computing and Data Management #Topic Modeling #cs.AI #cs.CL #cs.HC #cs.LG
- Mapping the Increasing Use of LLMs in Scientific Papers
2024/04/01 by Weixin Liang, Yaohui Zhang, Liang, Weixin +27 · 6 voices · 27 citations
Computer Science · Social Sciences · #cs.CL #cs.AI #cs.DL #cs.LG #cs.SI
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
2022/03/03 by Weixin Liang, Yuhui Zhang, Liang, Weixin +7 · 86 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Improving Out-of-Distribution Robustness via Selective Augmentation
2022/01/02 by Huaxiu Yao, Yu Wang, Yao, Huaxiu +11 · 16 citations
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- LMFusion: Adapting Pretrained Language Models for Multimodal Generation
2024/12/19 by Weijia Shi, Xiaochuang Han, Shi, Weijia +11 · 40 citations
Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Multimodal Machine Learning Applications
- Quantifying large language model usage in scientific papers
2025/08/04 by Weixin Liang, Yaohui Zhang, Zhengxuan Wu +11 · 1 voice · 32 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
- GPT detectors are biased against non-native English writers
2023/07/01 by Weixin Liang, Mert Yüksekgönül, Yining Mao +2 · 2 voices · 16 citations
Social Sciences · Medicine · #Academic integrity and plagiarism #Artificial Intelligence in Healthcare and Education
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
2022/02/14 by Weixin Liang, Liang, Weixin, James Zou +1 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Single-cell and spatial transcriptomics
- What's documented in AI? Systematic Analysis of 32K AI Model Cards
2024/02/07 by Weixin Liang, Liang, Weixin, Nazneen Fatema Rajani +13 · 4 citations
Engineering · Health Professions · #Advanced Data Processing Techniques #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
2025/06/02 by Tianyu Hua, Hua, Tianyu, Violet Xiang +12 · 7 citations
Health Professions · Computer Science · #Artificial Intelligence in Healthcare #Machine Learning and Data Classification #Research Data Management Practices
- Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
2024/01/24 by Xinyu Yang, Weixin Liang, Yang, Xinyu +3 · 3 citations
Computer Science · Decision Sciences · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management
- SEAL : Interactive Tool for Systematic Error Analysis and Labeling
2022/10/11 by Nazneen Fatema Rajani, Weixin Liang, Rajani, Nazneen +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
2020/11/21 by Weixin Liang, Liang, Weixin, Feiyang Niu +7 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
2025/06/12 by Yaohui Zhang, Zhang, Yaohui, Haijing Zhang +10 · 5 citations
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Computer Science · #Biomedical Text Mining and Ontologies #scientometrics and bibliometrics research #Semantic Web and Ontologies
- Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity
2025/01/27 by Weixin Liang, Jun-Hong Shen, Liang, Weixin +8 · 2 citations
Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Speech and Audio Processing
- Neural Group Testing to Accelerate Deep Learning
2020/11/21 by Weixin Liang, Liang, Weixin, James Zou +1 · 2 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #SARS-CoV-2 detection and testing #Machine Learning and Algorithms