Chien-Sheng Wu

Orcid: 0000-0002-5598-5324

According to our database1, Chien-Sheng Wu authored at least 67 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool.
ACM Trans. Comput. Hum. Interact., December, 2023

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.
CoRR, 2023

Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment.
CoRR, 2023

Beyond the Chat: Executable and Verifiable Text-Editing with LLMs.
CoRR, 2023

Art or Artifice? Large Language Models and the False Promise of Creativity.
CoRR, 2023

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.
CoRR, 2023

XGen-7B Technical Report.
CoRR, 2023

Next Steps for Human-Centered Generative AI: A Technical Perspective.
CoRR, 2023

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond.
CoRR, 2023

Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

INTELMO: Enhancing Models' Adoption of Interactive Interfaces.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Marvista: A Human-AI Collaborative Reading Tool.
CoRR, 2022

Structure Extraction in Task-Oriented Dialogues with Slot Clustering.
CoRR, 2022

Exploring Neural Models for Query-Focused Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MixQG: Neural Question Generation with Mixed Answer Types.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Discord Questions: A Computational Approach To Diversity Analysis in News Coverage.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Factual Consistency in Summarization with Compression-Based Post-Editing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Conformal Predictor for Improving Zero-Shot Text Classification Efficiency.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

QAConv: Question Answering on Informative Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DialFact: A Benchmark for Fact-Checking in Dialogue.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
MixQG: Neural Question Generation with Mixed Answer Types.
CoRR, 2021

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing.
Proceedings of the 9th International Conference on Learning Representations, 2021

Controllable Abstractive Dialogue Summarization with Sketch Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
CoRR, 2020

ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues.
CoRR, 2020

Attention over Parameters for Dialogue Systems.
CoRR, 2020

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

A Simple Language Model for Task-Oriented Dialogue.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Getting To Know You: User Attribute Extraction from Dialogues.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Probing Task-Oriented Dialogue Representation from Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Limited Labeled Dialogue State Tracking with Self-Supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Learning to Memorize in Neural Task-Oriented Dialogue Systems.
CoRR, 2019

Global-to-local Memory Pointer Networks for Task-Oriented Dialogue.
Proceedings of the 7th International Conference on Learning Representations, 2019

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Personalizing Dialogue Agents via Meta-Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Towards End-to-end Automatic Code-Switching Speech Recognition.
CoRR, 2018

Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling.
CoRR, 2018

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

End-to-End Dynamic Query Memory Network for Entity-Value Independent Task-Oriented Dialog.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition.
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning.
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

2017
Simulations for time-optimal trajectory planning along parametric polynomial lane-change curves for a unicycle.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

2016
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition.
Proceedings of the COLING 2016, 2016

Towards Empathetic Human-Robot Interactions.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016


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