| 2026 | AAAI | Can Editing LLMs Inject Harm? | 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 |
| 2026 | ACL | WildSci: Advancing Scientific Reasoning from In-the-Wild Literature. | Tengxiao Liu, Deepak Nathani, Zekun Li, Kevin Yang, William Yang Wang |
| 2026 | ACL | LEDOM: Reverse Language Model. | Xunjian Yin, Sitao Cheng, Yuxi Xie, Xinyu Hu, Li Lin, Xinyi Wang, Liangming Pan, William Yang Wang, Xiaojun Wan |
| 2026 | EACL | Detecting Training Data of Large Language Models via Expectation Maximization. | Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, William Yang Wang |
| 2025 | AAAI | Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. | Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua |
| 2025 | AAAI | Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. | Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold |
| 2025 | ACL | REALM: A Dataset of Real-World LLM Use Cases. | Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang |
| 2025 | ACL | TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation. | Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang |
| 2025 | ACL | InductionBench: LLMs Fail in the Simplest Complexity Class. | Wenyue Hua, Tyler Wong, Fei Sun, Liangming Pan, Adam Jardine, William Yang Wang |
| 2025 | ACL | Disentangling Memory and Reasoning Ability in Large Language Models. | Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang |
| 2025 | ACL | AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. | Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang |
| 2025 | ACL | Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. | Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu |
| 2025 | ACL | Gdel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement. | Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang |
| 2025 | ACL | RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. | Ruiwen Zhou, Wenyue Hua, Liangming Pan, Sitao Cheng, Xiaobao Wu, En Yu, William Yang Wang |
| 2025 | ACL | Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated. | Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang |
| 2025 | COLING | Extrapolating to Unknown Opinions Using LLMs. | Kexun Zhang, Jane Dwivedi-Yu, Zhaojiang Lin, Yuning Mao, William Yang Wang, Lei Li, Yi-Chia Wang |
| 2025 | CVPR | BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations. | Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie |
| 2025 | EMNLP | Uncovering Factor-Level Preference to Improve Human-Model Alignment. | Juhyun Oh, Eunsu Kim, Jiseon Kim, Wenda Xu, Inha Cha, William Yang Wang, Alice Oh |
| 2025 | EMNLP | Dynamic Evaluation for Oversensitivity in LLMs. | Sophia Xiao Pu, Sitao Cheng, Xin Eric Wang, William Yang Wang |
| 2025 | EMNLP | Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge. | Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon, Alon Albalak, William Yang Wang, Tanmoy Chakraborty |
| 2025 | EMNLP | How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark. | Minglai Yang, Ethan Huang, Liang Zhang, Mihai Surdeanu, William Yang Wang, Liangming Pan |
| 2025 | EMNLP | DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics. | Luke Yoffe, Alfonso Amayuelas, William Yang Wang |
| 2025 | ICCV | VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMS. | Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang |
| 2025 | ICLR | Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. | Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang |
| 2025 | ICLR | SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. | Antonis Antoniades, Albert rwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang |
| 2025 | ICLR | MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. | 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 |
| 2025 | ICLR | T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design. | Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang |
| 2025 | ICLR | Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. | Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICML | Weak-to-Strong Jailbreaking on Large Language Models. | Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang |
| 2025 | ICML | MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents. | Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang |
| 2025 | NAACL | Investigating the Transferability of Code Repair for Low-Resource Programming Languages. | Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang |
| 2025 | NAACL | CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. | Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Chen |
| 2025 | NAACL | Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation. | Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li |
| 2024 | AAAI | VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. | Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang |
| 2024 | ACL | Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. | Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang |
| 2024 | ACL | Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions. | Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li |
| 2024 | ACL | The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. | Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang |
| 2024 | EMNLP | MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. | Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Yang Wang |
| 2024 | EMNLP | RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. | Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli |
| 2024 | EMNLP | Multimodal Procedural Planning via Dual Text-Image Prompting. | Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Wang, William Yang Wang |
| 2024 | EMNLP | Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. | Aditya Sharma, Michael Saxon, William Yang Wang |
| 2024 | EMNLP | AKEW: Assessing Knowledge Editing in the Wild. | Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu |
| 2024 | EMNLP | BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment. | Wenda Xu, Jiachen Li, William Yang Wang, Lei Li |
| 2024 | EMNLP | A Survey on Detection of LLMs-Generated Content. | Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng |
| 2024 | ICLR | Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. | Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Yang Wang, Spencer L. Smith |
| 2024 | ICLR | Guiding Instruction-based Image Editing via Multimodal Large Language Models. | Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan |
| 2024 | ICLR | DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. | Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen |
| 2024 | ICLR | Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks. | Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang |
| 2024 | ICML | Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. | Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang |
| 2024 | ICML | Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning. | Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Hangjie Shi, Suhaila Shakiah, Reza Ghanadan, William Yang Wang |
| 2024 | ICML | Position: AI/ML Influencers Have a Place in the Academic Process. | Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang |
| 2024 | KDD | Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. | Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li |
| 2024 | NAACL | Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. | Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang |
| 2024 | NAACL | LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback. | Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag |
| 2023 | ACL | Hybrid Hierarchical Retrieval for Open-Domain Question Answering. | Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Yang Wang, Zhiheng Huang |
| 2023 | ACL | Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. | Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang, Zhiheng Huang |
| 2023 | ACL | Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. | 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 |
| 2023 | ACL | RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. | Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth |
| 2023 | ACL | Language Agnostic Multilingual Information Retrieval with Contrastive Learning. | Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang |
| 2023 | ACL | Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. | 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 |
| 2023 | ACL | Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI. | Alex Mei, Sharon Levy, William Yang Wang |
| 2023 | ACL | Fact-Checking Complex Claims with Program-Guided Reasoning. | Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov |
| 2023 | ACL | Multilingual Conceptual Coverage in Text-to-Image Models. | Michael Saxon, William Yang Wang |
| 2023 | ACL | CausalDialogue: Modeling Utterance-level Causality in Conversations. | Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang |
| 2023 | ACL | Benchmarking Diverse-Modal Entity Linking with Generative Models. | Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng |
| 2023 | ACL | SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes. | Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang |
| 2023 | CHIIR | Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search. | Daniel Xiaodan Zhou, Lan Liu, Anmol Anubhai, Maansi Shandilya, Steph Sigalas, William Yang Wang, Zhiheng Huang |
| 2023 | CVPR | An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. | Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu |
| 2023 | CVPR | Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. | Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell |
| 2023 | EACL | Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. | Alon Albalak, Sharon Levy, William Yang Wang |
| 2023 | EACL | SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. | Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown |
| 2023 | EACL | PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. | Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang |
| 2023 | EACL | ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. | Wanrong Zhu, Xin Wang, An Yan, Miguel P. Eckstein, William Yang Wang |
| 2023 | EACL | Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. | Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Wang, Miguel P. Eckstein, William Yang Wang |
| 2023 | EMNLP | Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting. | Zhiyu Chen, Yujie Lu, William Yang Wang |
| 2023 | EMNLP | Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought. | Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang |
| 2023 | EMNLP | ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models. | Alex Mei, Sharon Levy, William Yang Wang |
| 2023 | EMNLP | MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. | Deepak Nathani, David Wang, Liangming Pan, William Yang Wang |
| 2023 | EMNLP | Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. | Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang |
| 2023 | EMNLP | On the Risk of Misinformation Pollution with Large Language Models. | Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang |
| 2023 | EMNLP | Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. | Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang |
| 2023 | ICCV | Learning Concise and Descriptive Attributes for Visual Recognition. | An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley |
| 2023 | ICLR | Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. | 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 |
| 2023 | ICLR | Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. | Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang |
| 2023 | ICLR | WikiWhy: Answering and Explaining Cause-and-Effect Questions. | Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang |
| 2023 | ICLR | Neuro-Symbolic Procedural Planning with Commonsense Prompting. | Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang |
| 2023 | ICLR | STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. | 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 |
| 2023 | ICLR | Causal Balancing for Domain Generalization. | Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang |
| 2023 | ICLR | DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. | Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang |
| 2023 | ICML | Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. | Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang |
| 2023 | ICML | ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. | Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li |
| 2023 | IJCAI | NeuPSL: Neural Probabilistic Soft Logic. | Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor |
| 2023 | IJCNLP | Attacking Open-domain Question Answering by Injecting Misinformation. | Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang |
| 2023 | Interspeech | Data Augmentation for Diverse Voice Conversion in Noisy Environments. | Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang |
| 2022 | AAAI | DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. | Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song |
| 2022 | AAAI | Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. | Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang |
| 2022 | ACL | HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. | Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang |
| 2022 | ACL | Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems. | Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang |
| 2022 | CIKM | MIC: Model-agnostic Integrated Cross-channel Recommender. | Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren |
| 2022 | COLING | End-to-end Dense Video Captioning as Sequence Generation. | Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut |
| 2022 | CVPR | M | Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang |
| 2022 | ECCV | Language-Driven Artistic Style Transfer. | Tsu-Jui Fu, Xin Eric Wang, William Yang Wang |
| 2022 | EMNLP | FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. | Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang |
| 2022 | EMNLP | ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering. | Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, William Yang Wang |
| 2022 | EMNLP | ULN: Towards Underspecified Vision-and-Language Navigation. | Weixi Feng, Tsu-Jui Fu, Yujie Lu, William Yang Wang |
| 2022 | EMNLP | CPL: Counterfactual Prompt Learning for Vision and Language Models. | Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang |
| 2022 | EMNLP | Bridging the Training-Inference Gap for Dense Phrase Retrieval. | Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang |
| 2022 | EMNLP | SafeText: A Benchmark for Exploring Physical Safety in Language Models. | Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia B. Chilton, Desmond Patton, Kathleen R. McKeown, William Yang Wang |
| 2022 | EMNLP | Mitigating Covertly Unsafe Text within Natural Language Systems. | Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John Judge, Desmond Patton, Bruce Bimber, Kathleen R. McKeown, William Yang Wang |
| 2022 | EMNLP | Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis. | Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang |
| 2022 | LREC | Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation. | Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, William Yang Wang |
| 2022 | LREC | Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization. | Alex Mei, Anisha Kabir, Rukmini Bapat, John Judge, Tony Sun, William Yang Wang |
| 2022 | NAACL | KETOD: Knowledge-Enriched Task-Oriented Dialogue. | Zhiyu Chen, Bing Liu, Seungwhan Moon, Chinnadhurai Sankar, Paul A. Crook, William Yang Wang |
| 2022 | NAACL | Imagination-Augmented Natural Language Understanding. | Yujie Lu, Wanrong Zhu, Xin Wang, Miguel P. Eckstein, William Yang Wang |
| 2022 | NAACL | Diagnosing Vision-and-Language Navigation: What Really Matters. | Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang |
| 2022 | NeSy | Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. | Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor |
| 2021 | ACL | Investigating Memorization of Conspiracy Theories in Text Generation. | Sharon Levy, Michael Saxon, William Yang Wang |
| 2021 | ACL | Zero-shot Fact Verification by Claim Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | ACL | Neural Stylistic Response Generation with Disentangled Latent Variables. | Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang |
| 2021 | EACL | On Hallucination and Predictive Uncertainty in Conditional Language Generation. | Yijun Xiao, William Yang Wang |
| 2021 | EACL | Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. | Wenhan Xiong, Hong Wang, William Yang Wang |
| 2021 | EACL | L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. | An Yan, Xin Wang, Tsu-Jui Fu, William Yang Wang |
| 2021 | EACL | HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. | Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang |
| 2021 | EACL | Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. | Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang |
| 2021 | EMNLP | FinQA: A Dataset of Numerical Reasoning over Financial Data. | Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao 'Kenneth' Huang, Bryan R. Routledge, William Yang Wang |
| 2021 | EMNLP | A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. | Alexander Jones, William Yang Wang, Kyle Mahowald |
| 2021 | EMNLP | Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. | Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang |
| 2021 | EMNLP | Modeling Disclosive Transparency in NLP Application Descriptions. | Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang |
| 2021 | ICLR | Open Question Answering over Tables and Text. | Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen |
| 2021 | ICLR | Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. | Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz |
| 2021 | NAACL | Semi-Supervised Policy Initialization for Playing Games with Language Hints. | Tsu-Jui Fu, William Yang Wang |
| 2021 | NAACL | Unsupervised Multi-hop Question Answering by Question Generation. | Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang |
| 2021 | WACV | Meta Module Network for Compositional Visual Reasoning. | Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu |
| 2020 | AAAI | Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. | Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang |
| 2020 | AAAI | Multi-Task Self-Supervised Learning for Disfluency Detection. | Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang |
| 2020 | ACL | Logical Natural Language Generation from Open-Domain Tables. | Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang |
| 2020 | ACL | Few-Shot NLG with Pre-Trained Language Model. | Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang |
| 2020 | ACL | Towards Understanding Gender Bias in Relation Extraction. | Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang |
| 2020 | ACL | On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. | Chen Wu, Prince Zizhuang Wang, William Yang Wang |
| 2020 | CVPR | Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. | Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang |
| 2020 | CVPR | REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. | Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel |
| 2020 | ECCV | Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. | Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang |
| 2020 | ECCV | Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation. | Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi |
| 2020 | EMNLP | Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. | Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang |
| 2020 | EMNLP | KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. | Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang |
| 2020 | EMNLP | HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. | Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang |
| 2020 | EMNLP | SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. | Tsu-Jui Fu, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang |
| 2020 | EMNLP | Investigating African-American Vernacular English in Transformer-Based Text Generation. | Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wang |
| 2020 | EMNLP | Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation. | Jiannan Xiang, Xin Wang, William Yang Wang |
| 2020 | EMNLP | Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. | Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang |
| 2020 | EMNLP | Counterfactual Off-Policy Training for Neural Dialogue Generation. | Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang |
| 2020 | ICLR | TabFact: A Large-scale Dataset for Table-based Fact Verification. | Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang |
| 2020 | ICLR | Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. | Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov |
| 2020 | LREC | Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. | Kai Nakamura, Sharon Levy, William Yang Wang |
| 2020 | LREC | A Survey on Natural Language Processing for Fake News Detection. | Ray Oshikawa, Jing Qian, William Yang Wang |
| 2019 | AAAI | Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. | Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang |
| 2019 | AAAI | Quantifying Uncertainties in Natural Language Processing Tasks. | Yijun Xiao, William Yang Wang |
| 2019 | ACL | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang |
| 2019 | ACL | Towards Explainable NLP: A Generative Explanation Framework for Text Classification. | Hui Liu, Qingyu Yin, William Yang Wang |
| 2019 | ACL | What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. | Pushkar Shukla, Carlos E. L. Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang |
| 2019 | ACL | Mitigating Gender Bias in Natural Language Processing: Literature Review. | Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang |
| 2019 | ACL | Self-Supervised Learning for Contextualized Extractive Summarization. | Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
| 2019 | ACL | Self-Supervised Dialogue Learning. | Jiawei Wu, Xin Wang, William Yang Wang |
| 2019 | ACL | TWEETQA: A Social Media Focused Question Answering Dataset. | Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2019 | ACL | Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2019 | CVPR | Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. | Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang |
| 2019 | EMNLP | Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. | Siyao Li, Deren Lei, Pengda Qin, William Yang Wang |
| 2019 | EMNLP | A Benchmark Dataset for Learning to Intervene in Online Hate Speech. | Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang |
| 2019 | EMNLP | Neural Gaussian Copula for Variational Autoencoder. | Prince Zizhuang Wang, William Yang Wang |
| 2019 | EMNLP | Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. | Jiawei Wu, Wenhan Xiong, William Yang Wang |
| 2019 | ICCV | VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. | Xin Wang, Jiawei Wu, Jun-Kun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang |
| 2019 | NAACL | How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. | Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang |
| 2019 | NAACL | Learning to Decipher Hate Symbols. | Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang |
| 2019 | NAACL | Deep Adversarial Learning for NLP. | William Yang Wang, Sameer Singh, Jiwei Li |
| 2019 | NAACL | Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. | Prince Zizhuang Wang, William Yang Wang |
| 2019 | NAACL | Sentence Embedding Alignment for Lifelong Relation Extraction. | Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
| 2019 | NAACL | Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. | Jiawei Wu, Xin Wang, William Yang Wang |
| 2019 | NAACL | Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. | Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2018 | ACL | Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang |
| 2018 | ACL | Deep Reinforcement Learning for NLP. | William Yang Wang, Jiwei Li, Xiaodong He |
| 2018 | ACL | No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. | Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang |
| 2018 | ACL | DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. | Pengda Qin, Weiran Xu, William Yang Wang |
| 2018 | ACL | Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. | Pengda Qin, Weiran Xu, William Yang Wang |
| 2018 | ACL | MojiTalk: Generating Emotional Responses at Scale. | Xianda Zhou, William Yang Wang |
| 2018 | COLING | Zero Pronoun Resolution with Attention-based Neural Network. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang |
| 2018 | CVPR | Video Captioning via Hierarchical Reinforcement Learning. | Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang |
| 2018 | ECCV | Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. | Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang |
| 2018 | EMNLP | XL-NBT: A Cross-lingual Neural Belief Tracking Framework. | Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang |
| 2018 | EMNLP | Multi-view Models for Political Ideology Detection of News Articles. | Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang |
| 2018 | EMNLP | Hierarchical CVAE for Fine-Grained Hate Speech Classification. | Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang |
| 2018 | EMNLP | One-Shot Relational Learning for Knowledge Graphs. | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
| 2018 | IJCAI | Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. | Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang |
| 2018 | ICWSM | Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media. | Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth M. Belding |
| 2018 | NAACL | KBGAN: Adversarial Learning for Knowledge Graph Embeddings. | Liwei Cai, William Yang Wang |
| 2018 | NAACL | Variational Knowledge Graph Reasoning. | Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang |
| 2018 | NAACL | Simple Models for Word Formation in Slang. | Vivek Kulkarni, William Yang Wang |
| 2018 | NAACL | Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection. | Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang |
| 2018 | NAACL | Scalable Construction and Reasoning of Massive Knowledge Bases. | Xiang Ren, Nanyun Peng, William Yang Wang |
| 2018 | NAACL | Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning. | Xin Wang, Yuan-Fang Wang, William Yang Wang |
| 2018 | NAACL | Reinforced Co-Training. | Jiawei Wu, Lei Li, William Yang Wang |
| 2018 | WSDM | First Workshop on Knowledge Base Construction, Mining and Reasoning. | Xiang Ren, Craig A. Knoblock, William Yang Wang, Yu Su |
| 2017 | ACL | "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. | William Yang Wang |
| 2017 | EMNLP | Deep Residual Learning for Weakly-Supervised Relation Extraction. | Yi Yao Huang, William Yang Wang |
| 2017 | EMNLP | DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. | Wenhan Xiong, Thien Hoang, William Yang Wang |
| 2017 | IJCNLP | Learning to Explain Non-Standard English Words and Phrases. | Ke Ni, William Yang Wang |
| 2016 | IJCAI | Learning First-Order Logic Embeddings via Matrix Factorization. | William Yang Wang, William W. Cohen |
| 2016 | NAACL | Scalable Statistical Relational Learning for NLP. | William Yang Wang, William W. Cohen |
| 2016 | NAACL | A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. | William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent |
| 2015 | ACL | Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding. | Yun-Nung Chen, William Yang Wang, Anatole Gershman, Alexander I. Rudnicky |
| 2015 | ACL | Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. | William Yang Wang, William W. Cohen |
| 2015 | EMNLP | That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets. | William Yang Wang, Diyi Yang |
| 2015 | IJCAI | A Soft Version of Predicate Invention Based on Structured Sparsity. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2015 | Interspeech | Learning semantic hierarchy with distributed representations for unsupervised spoken language understanding. | Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky |
| 2015 | NAACL | Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding. | Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky |
| 2015 | NAACL | I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions. | William Yang Wang, Miaomiao Wen |
| 2014 | AAAI | ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2014 | ACL | A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls. | William Yang Wang, Zhenhao Hua |
| 2014 | CIKM | Structure Learning via Parameter Learning. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2014 | EMNLP | Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. | William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen |
| 2013 | ASRU | Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing. | Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky |
| 2013 | CIKM | Programming with personalized pagerank: a locally groundable first-order probabilistic logic. | William Yang Wang, Kathryn Mazaitis, William W. Cohen |
| 2013 | EMNLP | This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics. | William Yang Wang, Edward Lin, John Kominek |
| 2013 | EMNLP | Automatic Domain Partitioning for Multi-Domain Learning. | Di Wang, Chenyan Xiong, William Yang Wang |
| 2013 | ICASSP | An empirical investigation of sparse log-linear models for improved dialogue act classification. | Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky |
| 2012 | ACL | Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model. | William Yang Wang, Elijah Mayfield, Suresh Naidu, Jeremiah Dittmar |
| 2012 | SIGdial | "Love ya, jerkface": Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens. | William Yang Wang, Samantha L. Finkelstein, Amy Ogan, Alan W. Black, Justine Cassell |
| 2011 | ASRU | Automatic detection of unnatural word-level segments in unit-selection speech synthesis. | William Yang Wang, Kallirroi Georgila |
| 2011 | FlAIRS | Improving Spoken Dialogue Understanding Using Phonetic Mixture Models. | William Yang Wang, Ron Artstein, Anton Leuski, David R. Traum |
| 2011 | IJCNLP | Identifying Event Descriptions using Co-training with Online News Summaries. | William Yang Wang, Kapil Thadani, Kathleen R. McKeown |
| 2011 | Interspeech | Intoxication Detection Using Phonetic, Phonotactic and Prosodic Cues. | Fadi Biadsy, William Yang Wang, Andrew Rosenberg, Julia Hirschberg |
| 2011 | SIGdial | Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning. | William Yang Wang, Julia Hirschberg |
| 2010 | COLING | "Got You!": Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling. | William Yang Wang, Kathleen R. McKeown |