William Yang Wang

Affiliations:
  • University of California, Santa Barbara, USA
  • Carnegie Mellon University, Pittsburgh, USA (former)


According to our database1, William Yang Wang authored at least 281 papers between 2010 and 2024.

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Bibliography

2024
Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models.
CoRR, 2024

Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
CoRR, 2024

Weak-to-Strong Jailbreaking on Large Language Models.
CoRR, 2024

Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility.
CoRR, 2024

2023
COVID-19 Diagnosis by Wavelet Entropy and Extreme Learning Machine.
EAI Endorsed Trans. e Learn., 2023

Efficient Online Data Mixing For Language Model Pre-Training.
CoRR, 2023

VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following.
CoRR, 2023

Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback.
CoRR, 2023

GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.
CoRR, 2023

A Survey on Detection of LLMs-Generated Content.
CoRR, 2023

Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning.
CoRR, 2023

Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding.
CoRR, 2023

Zero-Shot Detection of Machine-Generated Codes.
CoRR, 2023

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models.
CoRR, 2023

Guiding Instruction-based Image Editing via Multimodal Large Language Models.
CoRR, 2023

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.
CoRR, 2023

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View.
CoRR, 2023

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text.
CoRR, 2023

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers.
CoRR, 2023

Text-guided 3D Human Generation from 2D Collections.
CoRR, 2023

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback.
CoRR, 2023

Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction.
CoRR, 2023

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.
CoRR, 2023

Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment.
CoRR, 2023

EDIS: Entity-Driven Image Search over Multimodal Web Content.
CoRR, 2023

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.
CoRR, 2023

Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation.
CoRR, 2023

Discriminative Diffusion Models as Few-shot Vision and Language Learners.
CoRR, 2023

Data Augmentation for Diverse Voice Conversion in Noisy Environments.
CoRR, 2023

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings.
CoRR, 2023

Multimodal Procedural Planning via Dual Text-Image Prompting.
CoRR, 2023

Users are the North Star for AI Transparency.
CoRR, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
CoRR, 2023

Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.
CoRR, 2023

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NeuPSL: Neural Probabilistic Soft Logic.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval.
Proceedings of the International Conference on Machine Learning, 2023

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators.
Proceedings of the International Conference on Machine Learning, 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Causal Balancing for Domain Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neuro-Symbolic Procedural Planning with Commonsense Prompting.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

WikiWhy: Answering and Explaining Cause-and-Effect Questions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Disparities in Text-to-Image Model Concept Possession Across Languages.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Risk of Misinformation Pollution with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CausalDialogue: Modeling Utterance-level Causality in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multilingual Conceptual Coverage in Text-to-Image Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fact-Checking Complex Claims with Program-Guided Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Hybrid Hierarchical Retrieval for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Foveate, Attribute, and Rationalize: Towards Safe and Trustworthy AI.
CoRR, 2022

SEScore2: Retrieval Augmented Pretraining for Text Generation Evaluation.
CoRR, 2022

Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations.
CoRR, 2022

An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding.
CoRR, 2022

CLIP also Understands Text: Prompting CLIP for Phrase Understanding.
CoRR, 2022

Knowledge-Grounded Reinforcement Learning.
CoRR, 2022

Atomized Deep Learning Models.
CoRR, 2022

Anticipating the Unseen Discrepancy for Vision and Language Navigation.
CoRR, 2022

Emotion Recognition in Conversation using Probabilistic Soft Logic.
CoRR, 2022

Neuro-Symbolic Causal Language Planning with Commonsense Prompting.
CoRR, 2022

Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks.
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Diagnosing Vision-and-Language Navigation: What Really Matters.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Imagination-Augmented Natural Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

KETOD: Knowledge-Enriched Task-Oriented Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Mitigating Covertly Unsafe Text within Natural Language Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SafeText: A Benchmark for Exploring Physical Safety in Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bridging the Training-Inference Gap for Dense Phrase Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CPL: Counterfactual Prompt Learning for Vision and Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ULN: Towards Underspecified Vision-and-Language Navigation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Language-Driven Artistic Style Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

M<sup>3</sup>L: Language-based Video Editing via Multi-Modal Multi-Level Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

End-to-end Dense Video Captioning as Sequence Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MIC: Model-agnostic Integrated Cross-channel Recommender.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

D-REX: Dialogue Relation Extraction with Explanations.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Vision-Language Navigation Policy Learning and Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets.
CoRR, 2021

VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling.
CoRR, 2021

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction.
CoRR, 2021

MIC: Model-agnostic Integrated Cross-channel Recommenders.
CoRR, 2021

ContraQA: Question Answering under Contradicting Contexts.
CoRR, 2021

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space.
CoRR, 2021

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation.
CoRR, 2021

Language-Driven Image Style Transfer.
CoRR, 2021

Comparing Visual Reasoning in Humans and AI.
CoRR, 2021

Gaze Perception in Humans and CNN-Based Model.
CoRR, 2021

Language-based Video Editing via Multi-Modal Multi-Level Transformer.
CoRR, 2021

They, Them, Theirs: Rewriting with Gender-Neutral English.
CoRR, 2021

Dimensions of Transparency in NLP Applications.
CoRR, 2021

The Truth is Out There: Investigating Conspiracy Theories in Text Generation.
CoRR, 2021

Meta Module Network for Compositional Visual Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Counterfactual Maximum Likelihood Estimation for Training Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Explanation of Dialogue Response Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

A Dataset for Answering Time-Sensitive Questions.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Multi-hop Question Answering by Question Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Semi-Supervised Policy Initialization for Playing Games with Language Hints.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
Proceedings of the 9th International Conference on Learning Representations, 2021

Open Question Answering over Tables and Text.
Proceedings of the 9th International Conference on Learning Representations, 2021

Modeling Disclosive Transparency in NLP Application Descriptions.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FinQA: A Dataset of Numerical Reasoning over Financial Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

L2C: Describing Visual Differences Needs Semantic Understanding of Individuals.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On Hallucination and Predictive Uncertainty in Conditional Language Generation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Neural Stylistic Response Generation with Disentangled Latent Variables.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Zero-shot Fact Verification by Claim Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Investigating Memorization of Conspiracy Theories in Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment.
ACM Trans. Intell. Syst. Technol., 2020

Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment.
CoRR, 2020

Unsupervised Injection of Knowledge into Dialogue Generation via Language Models.
CoRR, 2020

Counterfactual Off-Policy Training for Neural Response Generation.
CoRR, 2020

Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification.
CoRR, 2020

Relational Graph Learning for Grounded Video Description Generation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Survey on Natural Language Processing for Fake News Detection.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model.
Proceedings of the 8th International Conference on Learning Representations, 2020

TabFact: A Large-scale Dataset for Table-based Fact Verification.
Proceedings of the 8th International Conference on Learning Representations, 2020

Counterfactual Off-Policy Training for Neural Dialogue Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Investigating African-American Vernacular English in Transformer-Based Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler.
Proceedings of the Computer Vision - ECCV 2020, 2020

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dolores: Deep Contextualized Knowledge Graph Embeddings.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Towards Understanding Gender Bias in Relation Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Few-Shot NLG with Pre-Trained Language Model.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Logical Natural Language Generation from Open-Domain Tables.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multi-Task Self-Supervised Learning for Disfluency Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Disentangled Representation Learning with Wasserstein Total Correlation.
CoRR, 2019

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling.
CoRR, 2019

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection.
CoRR, 2019

Table-to-Text Natural Language Generation with Unseen Schemas.
CoRR, 2019

Cross-Lingual Vision-Language Navigation.
CoRR, 2019

Fine-tune Bert for DocRED with Two-step Process.
CoRR, 2019

Towards Open-Domain Named Entity Recognition via Neural Correction Models.
CoRR, 2019

Text Modeling with Syntax-Aware Variational Autoencoders.
CoRR, 2019

Meta Reasoning over Knowledge Graphs.
CoRR, 2019

Few-shot NLG with Pre-trained Language Model.
CoRR, 2019

Not All Actions Are Equal: Learning to Stop in Language-Grounded Urban Navigation.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Natural Language Grounded Multitask Navigation.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Sentence Embedding Alignment for Lifelong Relation Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Deep Adversarial Learning for NLP.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning to Decipher Hate Symbols.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural Gaussian Copula for Variational Autoencoder.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Benchmark Dataset for Learning to Intervene in Online Hate Speech.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Dialogue Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Learning for Contextualized Extractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Mitigating Gender Bias in Natural Language Processing: Literature Review.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Explainable NLP: A Generative Explanation Framework for Text Classification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Quantifying Uncertainties in Natural Language Processing Tasks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.
CoRR, 2018

Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications.
CoRR, 2018

MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings.
CoRR, 2018

Dirichlet Variational Autoencoder for Text Modeling.
CoRR, 2018

Analyzing and Interpreting Convolutional Neural Networks in NLP.
CoRR, 2018

WikiHow: A Large Scale Text Summarization Dataset.
CoRR, 2018

Simple Models for Word Formation in English Slang.
CoRR, 2018

IcoRating: A Deep-Learning System for Scam ICO Identification.
CoRR, 2018

First Workshop on Knowledge Base Construction, Mining and Reasoning.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Reinforced Co-Training.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scalable Construction and Reasoning of Massive Knowledge Bases.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Simple Models for Word Formation in Slang.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Variational Knowledge Graph Reasoning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

KBGAN: Adversarial Learning for Knowledge Graph Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

One-Shot Relational Learning for Knowledge Graphs.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Hierarchical CVAE for Fine-Grained Hate Speech Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-view Models for Political Ideology Detection of News Articles.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Video Captioning via Hierarchical Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Zero Pronoun Resolution with Attention-based Neural Network.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

MojiTalk: Generating Emotional Responses at Scale.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Deep Reinforcement Learning for NLP.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

Deep Reinforcement Learning for Chinese Zero Pronoun Resolution.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang.
CoRR, 2017

Learning to Explain Non-Standard English Words and Phrases.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Deep Residual Learning for Weakly-Supervised Relation Extraction.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization.
Proceedings of the NAACL HLT 2016, 2016

Scalable Statistical Relational Learning for NLP.
Proceedings of the Tutorial Abstracts, 2016

Learning First-Order Logic Embeddings via Matrix Factorization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic.
Mach. Learn., 2015

I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning semantic hierarchy with distributed representations for unsupervised spoken language understanding.
Proceedings of the INTERSPEECH 2015, 2015

A Soft Version of Predicate Invention Based on Structured Sparsity.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.
CoRR, 2014

Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Structure Learning via Parameter Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification.
Comput. Speech Lang., 2013

An empirical investigation of sparse log-linear models for improved dialogue act classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

Automatic Domain Partitioning for Multi-Domain Learning.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Programming with personalized pagerank: a locally groundable first-order probabilistic logic.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Crowdsourcing the acquisition of natural language corpora: Methods and observations.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

"Love ya, jerkface": Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens.
Proceedings of the SIGDIAL 2012 Conference, 2012

Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning.
Proceedings of the SIGDIAL 2011 Conference, 2011

Intoxication Detection Using Phonetic, Phonotactic and Prosodic Cues.
Proceedings of the INTERSPEECH 2011, 2011

Identifying Event Descriptions using Co-training with Online News Summaries.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Improving Spoken Dialogue Understanding Using Phonetic Mixture Models.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Automatic detection of unnatural word-level segments in unit-selection speech synthesis.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
"Got You!": Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling.
Proceedings of the COLING 2010, 2010


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