Hongru Wang

Orcid: 0000-0001-5027-0138

Affiliations:
  • Chinese University of Hong Kong, Hong Kong


According to our database1, Hongru Wang authored at least 32 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.
CoRR, 2024

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval.
CoRR, 2024

Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions.
CoRR, 2024

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems.
CoRR, 2024

2023
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning.
Int. J. Autom. Comput., 2023

A Survey of the Evolution of Language Model-Based Dialogue Systems.
CoRR, 2023

Self-Guard: Empower the LLM to Safeguard Itself.
CoRR, 2023

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue.
CoRR, 2023

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration.
CoRR, 2023

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning.
CoRR, 2023

Self-Critique Prompting with Large Language Models for Inductive Instructions.
CoRR, 2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization.
CoRR, 2023

Chain-of-thought prompting for responding to in-depth dialogue questions with LLM.
CoRR, 2023

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning.
CoRR, 2022

Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Integrating Pretrained Language Model for Dialogue Policy Evaluation.
Proceedings of the IEEE International Conference on Acoustics, 2022

DIGAT: Modeling News Recommendation with Dual-Graph Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Integrating Pretrained Language Model for Dialogue Policy Learning.
CoRR, 2021

Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning.
CoRR, 2021

Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning.
CoRR, 2021

TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System.
CoRR, 2021

MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging.
CoRR, 2021

2020
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System.
CoRR, 2020

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning.
CoRR, 2020

CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020


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