William Yang Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 418

Top Venues

Publications

Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi, Bill Yuchen Lin
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. CoRR (2024)
Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. CoRR (2024)
Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions. CoRR (2024)
Aditya Sharma, Michael Saxon, William Yang Wang
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. CoRR (2024)
Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang
Reward Guided Latent Consistency Distillation. CoRR (2024)
Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. AAAI (2024)
Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. CoRR (2024)
Luke Yoffe, Alfonso Amayuelas, William Yang Wang
DebUnc: Mitigating Hallucinations in Large Language Model Agent Communication with Uncertainty Estimations. CoRR (2024)
Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. ICLR (2024)
Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
A Survey on Data Selection for Language Models. CoRR (2024)
Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions. ACL (Findings) (2024)
Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, Anh Tuan Luu
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm. CoRR (2024)
Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. CoRR (2024)
Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. CoRR (2024)
Yujie Lu, Xiujun Li, Tsu-Jui Fu, Miguel P. Eckstein, William Yang Wang
From Text to Pixel: Advancing Long-Context Understanding in MLLMs. CoRR (2024)
Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. CoRR (2024)
Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj Singh, William Yang Wang, Lei Li
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. KDD (2024)
Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra
Benchmarks as Microscopes: A Call for Model Metrology. CoRR (2024)
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
Can Editing LLMs Inject Harm? CoRR (2024)
Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR (2024)
Wenda Xu, Jiachen Li, William Yang Wang, Lei Li
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM. CoRR (2024)
Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan
Guiding Instruction-based Image Editing via Multimodal Large Language Models. ICLR (2024)
Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang
DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. CoRR (2024)
Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks. ICLR (2024)
Xingyu Fu, Muyu He, Yujie Lu, William Yang Wang, Dan Roth
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? CoRR (2024)
Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. ACL (Findings) (2024)
Iain Xie Weissburg, Mehir Arora, Liangming Pan, William Yang Wang
Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility. CoRR (2024)
Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. CoRR (2024)
Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
. Trans. Assoc. Comput. Linguistics 12 (2024)
Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang
MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension. CoRR (2024)
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR (2024)
Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2). CoRR (2024)
Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen Wright, Lise Getoor
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. CoRR (2024)
Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang
Weak-to-Strong Jailbreaking on Large Language Models. CoRR (2024)
Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation. CoRR (2024)
Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR (2024)
Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda R. Petzold, William Yang Wang
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. CoRR (2024)
Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. CoRR (2024)
Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. ACL (Findings) (2024)
Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. CoRR (2024)
Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Yang Wang, Spencer L. Smith
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. ICLR (2024)
Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. CoRR (2024)
Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang
Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR (2024)
Yi-Lin Tuan, Xilun Chen, Eric Michael Smith, Louis Martin, Soumya Batra, Asli Celikyilmaz, William Yang Wang, Daniel M. Bikel
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models. CoRR (2024)
Xianjun Yang, Xiao Wang, Qi Zhang, Linda R. Petzold, William Yang Wang, Xun Zhao, Dahua Lin
Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models. CoRR (2023)
Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR (2023)
Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CVPR (2023)
Alon Albalak, Sharon Levy, William Yang Wang
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. EACL (System Demonstrations) (2023)
Yujie Lu, Xiujun Li, William Yang Wang, Yejin Choi
VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following. CoRR (2023)
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. CoRR (2023)
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. ICML (2023)
Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction. CoRR (2023)
Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR (2023)
Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor
NeuPSL: Neural Probabilistic Soft Logic. IJCAI (2023)
Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR (2023)
Wanrong Zhu, Xin Wang, An Yan, Miguel P. Eckstein, William Yang Wang
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. EACL (Findings) (2023)
Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) (2023)
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang
On the Risk of Misinformation Pollution with Large Language Models. CoRR (2023)
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. CoRR (2023)
Kexun Zhang, Hongqiao Chen, Lei Li, William Yang Wang
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding. CoRR (2023)
Alon Albalak, Colin A. Raffel, William Yang Wang
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data. NeurIPS (2023)
Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation. NeurIPS (2023)
Zhiyu Chen, Yujie Lu, William Yang Wang
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting. CoRR (2023)
Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR (2023)
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
Zero-Shot Detection of Machine-Generated Codes. CoRR (2023)
Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan
Guiding Instruction-based Image Editing via Multimodal Large Language Models. CoRR (2023)
Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang, William Yang Wang
Multimodal Procedural Planning via Dual Text-Image Prompting. CoRR (2023)
Michael Saxon, William Yang Wang
Disparities in Text-to-Image Model Concept Possession Across Languages. FAccT (2023)
Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. ICLR (2023)
Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) (2023)
Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR (2023)
Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback. CoRR (2023)
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. CoRR (2023)
Siqi Liu, Weixi Feng, Wenhu Chen, William Yang Wang
EDIS: Entity-Driven Image Search over Multimodal Web Content. CoRR (2023)
Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, William Yang Wang
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings. CoRR (2023)
Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes. ACL (1) (2023)
Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS (2023)
Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning. NeurIPS (2023)
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Causal Balancing for Domain Generalization. ICLR (2023)
Xinyi Wang, Wanrong Zhu, William Yang Wang
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. CoRR (2023)
Daniel Xiaodan Zhou, Lan Liu, Anmol Anubhai, Maansi Shandilya, Steph Sigalas, William Yang Wang, Zhiheng Huang
Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search. CHIIR (2023)
Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Wang, Miguel P. Eckstein, William Yang Wang
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. EACL (Findings) (2023)
Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS (2023)
Michael Saxon, William Yang Wang
Multilingual Conceptual Coverage in Text-to-Image Models. ACL (1) (2023)
Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang
Data Augmentation for Diverse Voice Conversion in Noisy Environments. INTERSPEECH (2023)
Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. CoRR (2023)
Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Yang Wang, Zhiheng Huang
Hybrid Hierarchical Retrieval for Open-Domain Question Answering. ACL (Findings) (2023)
Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation. CoRR (2023)
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) (2023)
Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. ACL (Findings) (2023)
Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR (2023)
Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. EMNLP (Findings) (2023)
An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV (2023)
Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR (2023)
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. NeurIPS (2023)
Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. EACL (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR (2023)
Xue Han, Zuojin Hu, William Yang Wang
COVID-19 Diagnosis by Wavelet Entropy and Extreme Learning Machine. EAI Endorsed Trans. e Learn. 8 (1) (2023)

William Yang Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

William Yang Wang