Chongyang Tao
70 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π Academic Marathon (7)
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π
Academic Marathon
(7)
π
Conference Loyalist
(27)
π€
Dynamic Duo
(29)
π¬
Deep Specialist
(23)
π§¬
Topic Evolution
π
Keyword Champion
(11)
β‘
Prolific Year
(15)
β
The Questioner
ποΈ
Keyword Collector
(254)
π
Century Club
(68)
π₯
Unstoppable
(8)
π
Trend Setter
Conferences
ACL (29)
EMNLP (13)
ICLR (8)
IJCAI (4)
IJCNLP (4)
AAAI (3)
COLING (3)
NAACL (2)
NIPS (2)
EACL (1)
ICCV (1)
Top co-authors
Keywords
dialogue system
(11)
response selection
(11)
pre-trained language model
(9)
large language model
(8)
retrieval-based dialogue
(8)
dialogue generation
(8)
response generation
(8)
text generation
(8)
information retrieval
(8)
multi-turn dialogue
(7)
knowledge-grounded dialogue
(7)
contrastive learning
(6)
knowledge distillation
(6)
multi-party conversation
(5)
knowledge selection
(5)
graph neural network
(4)
representation learning
(4)
language model
(4)
zero-shot learning
(3)
variational inference
(3)
Papers
FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval
ACL 2026
Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
ACL 2026
Benchmarking Long-Context Language Models on Long Code Understanding
ACL 2025
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
ICLR 2025
A Comprehensive Evaluation on Event Reasoning of Large Language Models
AAAI 2025
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
EMNLP 2024
Re-Reading Improves Reasoning in Large Language Models
EMNLP 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval
ACL 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models
ACL 2024
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
EACL 2024
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment
COLING 2024
Multi-Grained Conversational Graph Network for Retrieval-based Dialogue Systems
COLING 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever
ACL 2024
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples
ACL 2024
MEEL: Multi-Modal Event Evolution Learning
ACL 2024
Fine-Grained Distillation for Long Document Retrieval
AAAI 2024
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
ICLR 2024
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
ICLR 2024
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
ICLR 2023
FAA: Fine-grained Attention Alignment for Cascade Document Ranking
ACL 2023
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection
ACL 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
ACL 2023
UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning
ACL 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
ACL 2023
UMSE: Unified Multi-scenario Summarization Evaluation
ACL 2023
SEAG: Structure-Aware Event Causality Generation
ACL 2023
Towards Robust Ranker for Text Retrieval
ACL 2023
Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination
ACL 2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
EMNLP 2023
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning
EMNLP 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
ICCV 2023
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
ICLR 2023
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
ICLR 2023
Multi-Granularity Structural Knowledge Distillation for Language Model Compression
ACL 2022
ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation
ACL 2022
There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning
EMNLP 2022
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook
EMNLP 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
EMNLP 2022
Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation
EMNLP 2022
How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection
EMNLP 2022
Learning to Express in Knowledge-Grounded Conversation
NAACL 2022
Who Says What to Whom: A Survey of Multi-Party Conversations
IJCAI 2022
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge
ACL 2022
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations
ACL 2022
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
ACL 2022
There Are a Thousand Hamlets in a Thousand Peopleβs Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory
ACL 2022
Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations
COLING 2022
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study
NAACL 2021
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
ACL 2021
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
IJCNLP 2021
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
AAAI 2021
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
NIPS 2021
Maria: A Visual Experience Powered Conversational Agent
ACL 2021
A Survey on Response Selection for Retrieval-based Dialogues
IJCAI 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations
IJCNLP 2021
Maria: A Visual Experience Powered Conversational Agent
IJCNLP 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations
ACL 2021
Zero-Resource Knowledge-Grounded Dialogue Generation
NIPS 2020
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
EMNLP 2020
Low-Resource Knowledge-Grounded Dialogue Generation
ICLR 2020
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
ICLR 2019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
ACL 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
IJCNLP 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
EMNLP 2019
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
IJCAI 2019
Neural Response Generation with Meta-words
ACL 2019
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
ACL 2019
Iterative Document Representation Learning Towards Summarization with Polishing
EMNLP 2018
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism
IJCAI 2018
[RETRACTED] Playing 20 Question Game with Policy-Based Reinforcement Learning
EMNLP 2018