NLPExplorer

Jianfeng Gao

Number of Papers:- 162

Number of Citations:- 936

First ACL Paper:- 2000

Latest ACL Paper:- 2024

Venues:-

NAACL

SIGDIAL

CoNLL

BlackboxNLP

COLING

MTSummit

EMNLP

Findings

HLT

ROCLING/IJCLCLP

Rep4NLP

TACL

ACL

EACL

SIGHAN

IJCNLP

IWSLT

Co-Authors:-

Similar Authors:-

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models F i n d i n g s - N A A C L

Language Models as Inductive Reasoners EACL

ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks F i n d i n g s - N A A C L

Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering TACL

Dingmin Wang | Qiuyuan Huang | Matthew Jackson | Jianfeng Gao |

MindAgent: Emergent Gaming Interaction F i n d i n g s - N A A C L

Teaching Language Models to Self-Improve through Interactive Demonstrations NAACL

Toward Compositional Behavior in Neural Models: A Survey of Current Views EMNLP

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading EMNLP

Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog SIGDIAL

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models F i n d i n g s - A C L

Explaining Data Patterns in Natural Language with Language Models BlackboxNLP WS

Interactive Text Generation EMNLP

How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN TACL

Chain-of-Skills: A Configurable Model for Open-Domain Question Answering ACL

Tree Prompting: Efficient Task Adaptation without Fine-Tuning EMNLP

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

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

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding F i n d i n g s - E M N L P

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

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation F i n d i n g s - A C L

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers ACL

Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering ACL

Hao Cheng | Hao Fang | Xiaodong Liu | Jianfeng Gao |

Open Domain Question Answering with A Unified Knowledge Interface ACL

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners Findings NAACL

KAT: A Knowledge Augmented Transformer for Vision-and-Language NAACL

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation NAACL

CodeExp: Explanatory Code Document Generation F i n d i n g s - E M N L P

Knowledge-Rich Self-Supervision for Biomedical Entity Linking F i n d i n g s - E M N L P

Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation F i n d i n g s - E M N L P

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge F i n d i n g s - E M N L P

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

Xiaoying Zhang | Baolin Peng | Jianfeng Gao | Helen Meng |

Contrastive Multi-document Question Generation EACL

Targeted Adversarial Training for Natural Language Understanding NAACL

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization NAACL

Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL

Text Editing by Command NAACL

Generation-Augmented Retrieval for Open-Domain Question Answering ACL IJCNLP

GO FIGURE: A Meta Evaluation of Factuality in Summarization Findings

ARCH: Efficient Adversarial Regularized Training with Caching EMNLP Findings

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

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

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP

Token-wise Curriculum Learning for Neural Machine Translation EMNLP Findings

UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL IJCNLP

Soloist: Building Task Bots at Scale with Transfer Learning and Machine Teaching TACL

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages MTSummit

NICE: Neural Image Commenting with Empathy EMNLP Findings

Reader-Guided Passage Reranking for Open-Domain Question Answering Findings

HittER: Hierarchical Transformers for Knowledge Graph Embeddings EMNLP

EmailSum: Abstractive Email Thread Summarization ACL IJCNLP

Shiyue Zhang | Asli Celikyilmaz | Jianfeng Gao | Mohit Bansal |

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation ACL

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL

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

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

MIND: A Large-scale Dataset for News Recommendation ACL

The Design and Implementation of XiaoIce, an Empathetic Social Chatbot CL

Li Zhou | Jianfeng Gao | Di Li | Heung-Yeung Shum |

Few-shot Natural Language Generation for Task-Oriented Dialog EMNLP Findings

Understanding the Difficulty of Training Transformers EMNLP

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking EMNLP

Hannah Rashkin | Asli Celikyilmaz | Yejin Choi | Jianfeng Gao |

Guided Dialogue Policy Learning without Adversarial Learning in the Loop EMNLP Findings

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

RMM: A Recursive Mental Model for Dialogue Navigation EMNLP Findings

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

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning EMNLP

Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP

Structuring Latent Spaces for Stylized Response Generation EMNLP

TIGEr: Text-to-Image Grounding for Image Caption Evaluation EMNLP

Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP

Implicit Deep Latent Variable Models for Text Generation EMNLP

A Hybrid Neural Network Model for Commonsense Reasoning EMNLP WS

Pengcheng He | Xiaodong Liu | Weizhu Chen | Jianfeng Gao |

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning NAACL

Jointly Optimizing Diversity and Relevance in Neural Response Generation NAACL

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension NAACL

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL

Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL

Zhirui Zhang | Xiujun Li | Jianfeng Gao | Enhong Chen |

Multi-Task Deep Neural Networks for Natural Language Understanding ACL

Xiaodong Liu | Pengcheng He | Weizhu Chen | Jianfeng Gao |

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ACL

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ACL

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

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL

Towards Coherent and Cohesive Long-form Text Generation NAACL WS

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain ACL WS

Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning EMNLP

Discourse-Aware Neural Rewards for Coherent Text Generation NAACL

Stochastic Answer Networks for Machine Reading Comprehension ACL

Xiaodong Liu | Yelong Shen | Kevin Duh | Jianfeng Gao |

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

Neural Approaches to Conversational AI ACL

Jianfeng Gao | Michel Galley | Lihong Li |

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

Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation IJCNLP

Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models IJCNLP

End-to-End Task-Completion Neural Dialogue Systems IJCNLP

An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP

Yelong Shen | Xiaodong Liu | Kevin Duh | Jianfeng Gao |

Open-Domain Neural Dialogue Systems IJCNLP

Yun-Nung Chen | Jianfeng Gao |

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL

A Nested Attention Neural Hybrid Model for Grammatical Error Correction ACL

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion Rep4NLP WS

Yelong Shen | Po-Sen Huang | Ming-Wei Chang | Jianfeng Gao |

Deep Reinforcement Learning for Dialogue Generation EMNLP

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads EMNLP

Bi-directional Attention with Agreement for Dependency Parsing EMNLP

A Diversity-Promoting Objective Function for Neural Conversation Models NAACL

A Persona-Based Neural Conversation Model ACL

Deep Reinforcement Learning with a Natural Language Action Space ACL

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses NAACL

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval NAACL