← Authors

William Yang Wang

229 papers · 2010–2026 · 16 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) πŸ—ΊοΈ Taxonomy Completionist (27) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (15) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (6) 🏠 Conference Loyalist (28) 🀝 Dynamic Duo (29) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ”¬ Deep Specialist (30) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (16) ❓ The Questioner (7) πŸ’Ž Century Club (227) πŸ—ƒοΈ Keyword Collector (72) ⚑ Prolific Year (26) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

ACL (55) EMNLP (47) NAACL (28) ICLR (20) NIPS (13) IJCNLP (12) EACL (11) AAAI (10) CVPR (8) ICML (8) COLING (4) ECCV (4) IJCAI (4) ICCV (3) AACL (1) INTERSPEECH (1)

Top co-authors

Wenhu Chen (29) Xin Wang (24) Wenhan Xiong (22) Liangming Pan (21) Michael Saxon (19) Tsu-Jui Fu (18) Wanrong Zhu (15) Sharon Levy (13) Lei Li (13) Yujie Lu (13)

Research topics

Natural Language Processing (1)

Keywords

large language model (26) text generation (19) reinforcement learning (15) question answering (14) multimodal learning (14) benchmark evaluation (11) zero-shot learning (11) language model (9) few-shot learning (9) neural network (9) dialogue system (9) text classification (8) representation learning (8) relation extraction (7) natural language generation (7) self-supervised learning (7) natural language processing (7) multi-modal learning (6) variational autoencoder (6) vision-language navigation (6)

Papers

Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026
Can Editing LLMs Inject Harm? AAAI 2026
TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation ACL 2025
GΓΆdel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling ICLR 2025
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design ICLR 2025
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data ICLR 2025
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos ICLR 2025
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement ICLR 2025
Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation NAACL 2025
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy NAACL 2025
Uncovering Factor-Level Preference to Improve Human-Model Alignment EMNLP 2025
InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge ACL 2025
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework ACL 2025
Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios ACL 2025
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark EMNLP 2025
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning AAAI 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning AAAI 2025
DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics EMNLP 2025
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations CVPR 2025
VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs ICCV 2025
Extrapolating to Unknown Opinions Using LLMs COLING 2025
Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated ACL 2025
REALM: A Dataset of Real-World LLM Use Cases ACL 2025
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents ICML 2025
Weak-to-Strong Jailbreaking on Large Language Models ICML 2025
Dynamic Evaluation for Oversensitivity in LLMs EMNLP 2025
Do You Know About My Nation? Investigating Multilingual Language Models’ Cultural Literacy Through Factual Knowledge EMNLP 2025
Investigating the Transferability of Code Repair for Low-Resource Programming Languages NAACL 2025
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts NAACL 2024
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts EMNLP 2024
AKEW: Assessing Knowledge Editing in the Wild EMNLP 2024
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering EMNLP 2024
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences NIPS 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback NIPS 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NIPS 2024
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) NIPS 2024
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View AAAI 2024
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback NAACL 2024
Position: AI/ML Influencers Have a Place in the Academic Process ICML 2024
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation ICML 2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Guiding Instruction-based Image Editing via Multimodal Large Language Models ICLR 2024
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks ICLR 2024
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data ICLR 2024
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions ACL 2024
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models ACL 2024
Multimodal Procedural Planning via Dual Text-Image Prompting EMNLP 2024
A Survey on Detection of LLMs-Generated Content EMNLP 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate EMNLP 2024
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge ACL 2023
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering ACL 2023
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations ACL 2023
Benchmarking Diverse-Modal Entity Linking with Generative Models ACL 2023
Language Agnostic Multilingual Information Retrieval with Contrastive Learning ACL 2023
Hybrid Hierarchical Retrieval for Open-Domain Question Answering ACL 2023
Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI ACL 2023
CausalDialogue: Modeling Utterance-level Causality in Conversations ACL 2023
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization EACL 2023
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation EACL 2023
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains EACL 2023
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers EACL 2023
Causal Balancing for Domain Generalization ICLR 2023
WikiWhy: Answering and Explaining Cause-and-Effect Questions ICLR 2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness ICLR 2023
Neuro-Symbolic Procedural Planning with Commonsense Prompting ICLR 2023
STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK ICLR 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval ICML 2023
NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023
Attacking Open-domain Question Answering by Injecting Misinformation IJCNLP 2023
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases ICLR 2023
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis ICLR 2023
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation NIPS 2023
Data Augmentation for Diverse Voice Conversion in Noisy Environments INTERSPEECH 2023
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation EACL 2023
Learning Concise and Descriptive Attributes for Visual Recognition ICCV 2023
Attacking Open-domain Question Answering by Injecting Misinformation AACL 2023
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text NIPS 2023
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers NIPS 2023
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling CVPR 2023
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation CVPR 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NIPS 2023
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning NIPS 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NIPS 2023
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models NIPS 2023
Multilingual Conceptual Coverage in Text-to-Image Models ACL 2023
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes ACL 2023
Fact-Checking Complex Claims with Program-Guided Reasoning ACL 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning ACL 2023
M3L: Language-Based Video Editing via Multi-Modal Multi-Level Transformers CVPR 2022
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents AAAI 2022
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer AAAI 2022
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems ACL 2022
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data ACL 2022
D-REX: Dialogue Relation Extraction with Explanations ACL 2022
End-to-end Dense Video Captioning as Sequence Generation COLING 2022
Language-Driven Artistic Style Transfer ECCV 2022
SafeText: A Benchmark for Exploring Physical Safety in Language Models EMNLP 2022
CPL: Counterfactual Prompt Learning for Vision and Language Models EMNLP 2022
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering EMNLP 2022
ULN: Towards Underspecified Vision-and-Language Navigation EMNLP 2022
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue EMNLP 2022
Mitigating Covertly Unsafe Text within Natural Language Systems EMNLP 2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval EMNLP 2022
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis EMNLP 2022
Imagination-Augmented Natural Language Understanding NAACL 2022
Diagnosing Vision-and-Language Navigation: What Really Matters NAACL 2022
KETOD: Knowledge-Enriched Task-Oriented Dialogue NAACL 2022
Neural Stylistic Response Generation with Disentangled Latent Variables ACL 2021
Modeling Disclosive Transparency in NLP Application Descriptions EMNLP 2021
Zero-shot Fact Verification by Claim Generation IJCNLP 2021
FinQA: A Dataset of Numerical Reasoning over Financial Data EMNLP 2021
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space EMNLP 2021
Neural Stylistic Response Generation with Disentangled Latent Variables IJCNLP 2021
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing EACL 2021
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering EACL 2021
On Hallucination and Predictive Uncertainty in Conditional Language Generation EACL 2021
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals EACL 2021
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation EACL 2021
Local Explanation of Dialogue Response Generation NIPS 2021
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains EMNLP 2021
Unsupervised Multi-hop Question Answering by Question Generation NAACL 2021
Investigating Memorization of Conspiracy Theories in Text Generation ACL 2021
Zero-shot Fact Verification by Claim Generation ACL 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021
Semi-Supervised Policy Initialization for Playing Games with Language Hints NAACL 2021
Investigating Memorization of Conspiracy Theories in Text Generation IJCNLP 2021
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval ICLR 2021
Open Question Answering over Tables and Text ICLR 2021
Multi-Task Self-Supervised Learning for Disfluency Detection AAAI 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment ACL 2020
Logical Natural Language Generation from Open-Domain Tables ACL 2020
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations EMNLP 2020
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation EMNLP 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data EMNLP 2020
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms EMNLP 2020
Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning EMNLP 2020
Towards Understanding Gender Bias in Relation Extraction ACL 2020
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation ECCV 2020
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler ECCV 2020
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments CVPR 2020
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation CVPR 2020
Investigating African-American Vernacular English in Transformer-Based Text Generation EMNLP 2020
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation EMNLP 2020
Few-Shot NLG with Pre-Trained Language Model ACL 2020
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model ICLR 2020
TabFact: A Large-scale Dataset for Table-based Fact Verification ICLR 2020
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification EMNLP 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering EMNLP 2019
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning AAAI 2019
Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research ICCV 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation CVPR 2019
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL 2019
Towards Explainable NLP: A Generative Explanation Framework for Text Classification ACL 2019
TWEETQA: A Social Media Focused Question Answering Dataset ACL 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL 2019
Self-Supervised Dialogue Learning ACL 2019
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention ACL 2019
Self-Supervised Learning for Contextualized Extractive Summarization ACL 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review ACL 2019
Neural Gaussian Copula for Variational Autoencoder IJCNLP 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification IJCNLP 2019
A Benchmark Dataset for Learning to Intervene in Online Hate Speech IJCNLP 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization IJCNLP 2019
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling NAACL 2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing NAACL 2019
Sentence Embedding Alignment for Lifelong Relation Extraction NAACL 2019
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation NAACL 2019
Learning to Decipher Hate Symbols NAACL 2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection NAACL 2019
Deep Adversarial Learning for NLP NAACL 2019
Neural Gaussian Copula for Variational Autoencoder EMNLP 2019
A Benchmark Dataset for Learning to Intervene in Online Hate Speech EMNLP 2019
Multi-view Models for Political Ideology Detection of News Articles EMNLP 2018
Hierarchical CVAE for Fine-Grained Hate Speech Classification EMNLP 2018
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation ECCV 2018
Reinforced Co-Training NAACL 2018
Simple Models for Word Formation in Slang NAACL 2018
KBGAN: Adversarial Learning for Knowledge Graph Embeddings NAACL 2018
Variational Knowledge Graph Reasoning NAACL 2018
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection NAACL 2018
Zero Pronoun Resolution with Attention-based Neural Network COLING 2018
Video Captioning via Hierarchical Reinforcement Learning CVPR 2018
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning NAACL 2018
Scalable Construction and Reasoning of Massive Knowledge Bases NAACL 2018
XL-NBT: A Cross-lingual Neural Belief Tracking Framework EMNLP 2018
One-Shot Relational Learning for Knowledge Graphs EMNLP 2018
Deep Reinforcement Learning for NLP ACL 2018
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning ACL 2018
MojiTalk: Generating Emotional Responses at Scale ACL 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ACL 2018
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction ACL 2018
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018
Deep Residual Learning for Weakly-Supervised Relation Extraction EMNLP 2017
Learning to Explain Non-Standard English Words and Phrases IJCNLP 2017
β€œLiar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection ACL 2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning EMNLP 2017
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization NAACL 2016
Learning First-Order Logic Embeddings via Matrix Factorization IJCAI 2016
Scalable Statistical Relational Learning for NLP NAACL 2016
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding IJCNLP 2015
That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets EMNLP 2015
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding ACL 2015
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach ACL 2015
I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions NAACL 2015
Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding NAACL 2015
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach IJCNLP 2015
A Soft Version of Predicate Invention Based on Structured Sparsity IJCAI 2015
A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls ACL 2014
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach EMNLP 2014
This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics EMNLP 2013
Automatic Domain Partitioning for Multi-Domain Learning EMNLP 2013
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model ACL 2012
Identifying Event Descriptions using Co-training with Online News Summaries IJCNLP 2011
β€œGot You!”: Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling COLING 2010