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-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models.

[BibT_eX]

[DOI]

Miaoran Li

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

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.

[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

The Trickle-down Impact of Reward Inconsistency on RLHF.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Consistency Boosts Calibration for Math Reasoning.

[BibT_eX]

[DOI]

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

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.

[BibT_eX]

[DOI]

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

Improving LLM Generations via Fine-Grained Self-Endorsement.

[BibT_eX]

[DOI]

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

2023

The Trickle-down Impact of Reward (In-)consistency on RLHF.

[BibT_eX]

[DOI]

CoRR, 2023

Stabilizing RLHF through Advantage Model and Selective Rehearsal.

[BibT_eX]

[DOI]

CoRR, 2023

Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models.

[BibT_eX]

[DOI]

Miaoran Li

Baolin Peng

Zhu Zhang

CoRR, 2023

ArK: Augmented Reality with Knowledge Interactive Emergent Ability.

[BibT_eX]

[DOI]

CoRR, 2023

Instruction Tuning with GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog.

[BibT_eX]

[DOI]

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.

[BibT_eX]

[DOI]

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

Guiding Large Language Models via Directional Stimulus Prompting.

[BibT_eX]

[DOI]

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

SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting.

[BibT_eX]

[DOI]

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

Interactive Text Generation.

[BibT_eX]

[DOI]

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

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.

[BibT_eX]

[DOI]

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

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization.

[BibT_eX]

[DOI]

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

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

[BibT_eX]

[DOI]

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

2022

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.

[BibT_eX]

[DOI]

CoRR, 2022

Explanations from Large Language Models Make Small Reasoners Better.

[BibT_eX]

[DOI]

CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

[BibT_eX]

[DOI]

CoRR, 2022

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog.

[BibT_eX]

[DOI]

CoRR, 2022

Toward Self-Learning End-to-End Dialog Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Hierarchical reinforcement learning for automatic disease diagnosis.

[BibT_eX]

[DOI]

Bioinform., 2022

Toward Self-Learning End-to-End Task-oriented Dialog Systems.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation.

[BibT_eX]

[DOI]

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

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation.

[BibT_eX]

[DOI]

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

ValueNet: A New Dataset for Human Value Driven Dialogue System.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Overview of the Eighth Dialog System Technology Challenge: DSTC8.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching.

[BibT_eX]

[DOI]

CoRR, 2021

Data Augmentation for Spoken Language Understanding via Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention.

[BibT_eX]

[DOI]

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

Few-Shot Named Entity Recognition: An Empirical Baseline Study.

[BibT_eX]

[DOI]

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

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues.

[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

RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems.

[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

Engage the Public: Poll Question Generation for Social Media Posts.

[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

Few-Shot Named Entity Recognition: A Comprehensive Study.

[BibT_eX]

[DOI]

CoRR, 2020

Self-supervised Pre-training with Hard Examples Improves Visual Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Conversational AI with Grounded Text Generation.

[BibT_eX]

[DOI]

CoRR, 2020

Meta Dialogue Policy Learning.

[BibT_eX]

[DOI]

CoRR, 2020

SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model.

[BibT_eX]

[DOI]

CoRR, 2020

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Data Augmentation for Spoken Language Understanding via Pretrained Models.

[BibT_eX]

[DOI]

CoRR, 2020

Guided Dialog Policy Learning without Adversarial Learning in the Loop.

[BibT_eX]

[DOI]

CoRR, 2020

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Few-shot Natural Language Generation for Task-Oriented Dialog.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.

[BibT_eX]

[DOI]

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

Guided Dialogue Policy Learning without Adversarial Learning in the Loop.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems.

[BibT_eX]

[DOI]

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

Learning Efficient Dialogue Policy from Demonstrations through Shaping.

[BibT_eX]

[DOI]

Huimin Wang

Baolin Peng

Kam-Fai Wong

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

Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems.

[BibT_eX]

[DOI]

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

2019

The Eighth Dialog System Technology Challenge.

[BibT_eX]

[DOI]

CoRR, 2019

Building Personalized Simulator for Interactive Search.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ConvLab: Multi-Domain End-to-End Dialog System Platform.

[BibT_eX]

[DOI]

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

2018

Integrating planning for task-completion dialogue policy learning.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Task-oriented Dialogue System for Automatic Diagnosis.

[BibT_eX]

[DOI]

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

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning.

[BibT_eX]

[DOI]

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

2017

Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

May I take your order? A Neural Model for Extracting Structured Information from Conversations.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Word Embedding Based Correlation Model for Question/Answer Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2016

An Attentional Neural Conversation Model with Improved Specificity.

[BibT_eX]

[DOI]

CoRR, 2016

ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language.

[BibT_eX]

[DOI]

Shichao Dong

Gabriel Pui Cheong Fung

Proceedings of the COLING 2016, 2016

2015

Collaborative personal profiling for web service ranking and recommendation.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2015

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2015

Attention with Intention for a Neural Network Conversation Model.

[BibT_eX]

[DOI]

Kaisheng Yao

Geoffrey Zweig

Baolin Peng

CoRR, 2015

Recurrent Neural Networks with External Memory for Language Understanding.

[BibT_eX]

[DOI]

Baolin Peng

Kaisheng Yao

CoRR, 2015

Towards Neural Network-based Reasoning.

[BibT_eX]

[DOI]

CoRR, 2015

Recurrent Neural Networks with External Memory for Spoken Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Contextual spoken language understanding using recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A factorization network based method for multi-lingual domain classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Using Content-level Structures for Summarizing Microblog Repost Trees.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Trending Sentiment-Topic Detection on Twitter.

[BibT_eX]

[DOI]

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014

Auto-encoder based bagging architecture for sentiment analysis.

[BibT_eX]

[DOI]

J. Vis. Lang. Comput., 2014

Learning joint representation for community question answering with tri-modal DBM.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Spoken language understanding using long short-term memory neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Recurrent conditional random field for language understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Semi-supervised Dual Recurrent Neural Network for Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Dependable, 2013

Baolin Peng

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