Baolin Peng

According to our database1, Baolin Peng authored at least 89 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Collaborative decoding of critical tokens for boosting factuality of large language models.
CoRR, 2024

Fine-Grained Self-Endorsement Improves Factuality and Reasoning.
CoRR, 2024

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.
CoRR, 2024

2023
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations.
CoRR, 2023

Teaching Language Models to Self-Improve through Interactive Demonstrations.
CoRR, 2023

The Trickle-down Impact of Reward (In-)consistency on RLHF.
CoRR, 2023

Stabilizing RLHF through Advantage Model and Selective Rehearsal.
CoRR, 2023

Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models.
CoRR, 2023

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models.
CoRR, 2023

ArK: Augmented Reality with Knowledge Interactive Emergent Ability.
CoRR, 2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
CoRR, 2023

Instruction Tuning with GPT-4.
CoRR, 2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.
CoRR, 2023

Guiding Large Language Models via Directional Stimulus Prompting.
CoRR, 2023

Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog.
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.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Interactive Text Generation.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog.
CoRR, 2022

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.
CoRR, 2022

Explanations from Large Language Models Make Small Reasoners Better.
CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.
CoRR, 2022

OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience.
CoRR, 2022

GODEL: Large-Scale Pre-Training for Goal-Directed Dialog.
CoRR, 2022

Toward Self-Learning End-to-End Dialog Systems.
CoRR, 2022

Hierarchical reinforcement learning for automatic disease diagnosis.
Bioinform., 2022

Toward Self-Learning End-to-End Task-oriented Dialog Systems.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ValueNet: A New Dataset for Human Value Driven Dialogue System.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Overview of the Eighth Dialog System Technology Challenge: DSTC8.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching.
Trans. Assoc. Comput. Linguistics, 2021

SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching.
CoRR, 2021

Data Augmentation for Spoken Language Understanding via Pretrained Language Models.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Few-Shot Named Entity Recognition: An Empirical Baseline Study.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues.
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.
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.
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.
CoRR, 2020

Self-supervised Pre-training with Hard Examples Improves Visual Representations.
CoRR, 2020

Overview of the Ninth Dialog System Technology Challenge: DSTC9.
CoRR, 2020

Robust Conversational AI with Grounded Text Generation.
CoRR, 2020

Meta Dialogue Policy Learning.
CoRR, 2020

SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model.
CoRR, 2020

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning.
CoRR, 2020

Data Augmentation for Spoken Language Understanding via Pretrained Models.
CoRR, 2020

Guided Dialog Policy Learning without Adversarial Learning in the Loop.
CoRR, 2020

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Guided Dialogue Policy Learning without Adversarial Learning in the Loop.
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

Learning Efficient Dialogue Policy from Demonstrations through Shaping.
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019
The Eighth Dialog System Technology Challenge.
CoRR, 2019

Building Personalized Simulator for Interactive Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ConvLab: Multi-Domain End-to-End Dialog System Platform.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Integrating planning for task-completion dialogue policy learning.
CoRR, 2018

Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Task-oriented Dialogue System for Automatic Diagnosis.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning.
CoRR, 2017

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning.
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.
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.
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.
IEICE Trans. Inf. Syst., 2016

An Attentional Neural Conversation Model with Improved Specificity.
CoRR, 2016

ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language.
Proceedings of the COLING 2016, 2016

2015
Collaborative personal profiling for web service ranking and recommendation.
Inf. Syst. Frontiers, 2015

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis.
Frontiers Comput. Sci., 2015

Attention with Intention for a Neural Network Conversation Model.
CoRR, 2015

Recurrent Neural Networks with External Memory for Language Understanding.
CoRR, 2015

Towards Neural Network-based Reasoning.
CoRR, 2015

Recurrent Neural Networks with External Memory for Spoken Language Understanding.
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.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Contextual spoken language understanding using recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A factorization network based method for multi-lingual domain classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Using Content-level Structures for Summarizing Microblog Repost Trees.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Trending Sentiment-Topic Detection on Twitter.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Auto-encoder based bagging architecture for sentiment analysis.
J. Vis. Lang. Comput., 2014

Learning joint representation for community question answering with tri-modal DBM.
Proceedings of the 23rd International World Wide Web Conference, 2014

Spoken language understanding using long short-term memory neural networks.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Recurrent conditional random field for language understanding.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Semi-supervised Dual Recurrent Neural Network for Sentiment Analysis.
Proceedings of the IEEE 11th International Conference on Dependable, 2013


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