Lu Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

SELF-GUARD: Empower the LLM to Safeguard Itself.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses.

[BibT_eX]

[DOI]

Xin Liu

Muhammad Khalifa

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Analyzing Occupational Distribution Representation in Japanese Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning.

[BibT_eX]

[DOI]

Inderjeet Nair

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Verifiable Generation with Subsentence-Level Fine-Grained Citations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TaskWeaver: A Code-First Agent Framework.

[BibT_eX]

[DOI]

CoRR, 2023

LitCab: Lightweight Calibration of Language Models on Outputs of Varied Lengths.

[BibT_eX]

[DOI]

Xin Liu

Muhammad Khalifa

CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion-based Time Series Data Imputation for Microsoft 365.

[BibT_eX]

[DOI]

CoRR, 2023

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Demonstration Ensembling for In-context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement Logic Rule Learning for Temporal Point Processes.

[BibT_eX]

[DOI]

CoRR, 2023

Discriminator-Guided Multi-step Reasoning with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-review Generation with Checklist-guided Iterative Introspection.

[BibT_eX]

[DOI]

CoRR, 2023

Introspective Tips: Large Language Model for In-Context Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

[BibT_eX]

[DOI]

CoRR, 2023

Conservative State Value Estimation for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Conservative State Value Estimation for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Saravanakumar Rajmohan

Thomas Moscibroda

Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets.

[BibT_eX]

[DOI]

Srinivasan Rakhunathan

Ranganathan Srikanth

Qingwei Lin

Dongmei Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting.

[BibT_eX]

[DOI]

Kaijian Zou

Winston Wu

Nicholas Beauchamp

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Merging Generated and Retrieved Knowledge for Open-Domain QA.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales.

[BibT_eX]

[DOI]

Winston Wu

Rada Mihalcea

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison.

[BibT_eX]

[DOI]

Yujian Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GRACE: Discriminator-Guided Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

You Are What You Annotate: Towards Better Models through Annotator Representations.

[BibT_eX]

[DOI]

Naihao Deng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions.

[BibT_eX]

[DOI]

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases.

[BibT_eX]

[DOI]

Xin Liu

Muhammad Khalifa

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Few-shot Reranking for Multi-hop QA via Language Model Prompting.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.

[BibT_eX]

[DOI]

CoRR, 2022

Spot Virtual Machine Eviction Prediction in Microsoft Cloud.

[BibT_eX]

[DOI]

Senthil Baladhandayutham

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

An empirical investigation of missing data handling in cloud node failure prediction.

[BibT_eX]

[DOI]

Saravanakumar Rajmohan

Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection.

[BibT_eX]

[DOI]

Yujian Liu

David Wegsman

Nicholas Beauchamp

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Explaining Point Processes by Learning Interpretable Temporal Logic Rules.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation.

[BibT_eX]

[DOI]

Nick Beauchamp

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis.

[BibT_eX]

[DOI]

Changyuan Qiu

Winston Wu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure.

[BibT_eX]

[DOI]

Joseph Peper

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Sentence-level Media Bias Analysis Informed by Discourse Structures.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Time-aware Prompting for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Efficient Argument Structure Extraction with Transfer Learning and Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Controllable Summarization with Constrained Markov Decision Process.

[BibT_eX]

[DOI]

Hou Pong Chan

Irwin King

Trans. Assoc. Comput. Linguistics, 2021

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View.

[BibT_eX]

[DOI]

CoRR, 2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Attentions for Long Document Summarization.

[BibT_eX]

[DOI]

Luyang Huang

Nikolaus Nova Parulian

Heng Ji

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Inference Time Style Control for Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Attention Head Masking for Inference Time Content Selection in Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment.

[BibT_eX]

[DOI]

Yuhan Shen

Ehsan Elhamifar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation.

[BibT_eX]

[DOI]

Ashwin Sreevatsa

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Controllable Open-ended Question Generation with A New Question Type Ontology.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

DebateVis: Visualizing Political Debates for Non-Expert Users.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE Visualization Conference, 2020

Temporal Logic Point Processes.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Modeling Content Importance for Summarization with Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference.

[BibT_eX]

[DOI]

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Dynamic Online Conversation Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward.

[BibT_eX]

[DOI]

Luyang Huang

Lingfei Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event.

[BibT_eX]

[DOI]

Prafulla Kumar Choubey

Aaron Lee

Ruihong Huang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Argument Mining for Understanding Peer Reviews.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Robust Representations with Graph Denoising Policy Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Neural Conversation Recommendation with Online Interaction Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Entity-Driven Framework for Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Sentence-Level Content Planning and Style Specification for Neural Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

In Plain Sight: Media Bias Through the Lens of Factual Reporting.

[BibT_eX]

[DOI]

Prafulla Kumar Choubey

Ruihong Huang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning.

[BibT_eX]

[DOI]

Wei Zhang

Xiaofeng He

Proceedings of the Database Systems for Advanced Applications, 2019

Joint Effects of Context and User History for Predicting Online Conversation Re-entries.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization.

[BibT_eX]

[DOI]

Hai Ye

Wenjie Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization.

[BibT_eX]

[DOI]

Eva Sharma

Chen Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Argument Generation with Retrieval, Planning, and Realization.

[BibT_eX]

[DOI]

Zhe Hu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information.

[BibT_eX]

[DOI]

Lisa Fan

Dong Yu

CoRR, 2018

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Learning for Neural Keyphrase Generation.

[BibT_eX]

[DOI]

Hai Ye

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Personalized Prescription for Comorbidity.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

Neural Argument Generation Augmented with Externally Retrieved Evidence.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Switching Characterization and Short-Circuit Protection of 1200 V SiC MOSFET T-Type Module in PV Inverter Application.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

A 60-kW 3-kW/kg Five-Level T-Type SiC PV Inverter With 99.2% Peak Efficiency.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2017

Understanding and Detecting Supporting Arguments of Diverse Types.

[BibT_eX]

[DOI]

CoRR, 2017

A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the Workshop on New Frontiers in Summarization, 2017

Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Joint Modeling of Content and Discourse Relations in Dialogues.

[BibT_eX]

[DOI]

Kechen Qin

Joseph Kim

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Understanding and Detecting Diverse Supporting Arguments on Controversial Issues.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Summarization and Sentiment Analysis for Understanding Socially-Generated Content.

[BibT_eX]

PhD thesis, 2016

Summarizing Decisions in Spoken Meetings.

[BibT_eX]

[DOI]

Claire Cardie

CoRR, 2016

Neural Network-Based Abstract Generation for Opinions and Arguments.

[BibT_eX]

[DOI]

Wang Ling

Proceedings of the NAACL HLT 2016, 2016

2015

Socially-Informed Timeline Generation for Complex Events.

[BibT_eX]

[DOI]

Claire Cardie

Galen Marchetti

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

2014

Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon.

[BibT_eX]

[DOI]

Claire Cardie

Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems.

[BibT_eX]

[DOI]