Bin Sun

Affiliations:
  • Beijing Institute of Technology, School of Computer Science and Technology, China


According to our database1, Bin Sun authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MODE: a multimodal open-domain dialogue dataset with explanation.
Appl. Intell., April, 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Stop filtering: Multi-view attribute-enhanced dialogue learning.
Knowl. Based Syst., October, 2023

EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset.
CoRR, 2023

Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Heterogeneous-Branch Collaborative Learning for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
THINK: A novel conversation model for generating grammatically correct and coherent responses.
Knowl. Based Syst., 2022

Diversifying Neural Dialogue Generation via Negative Distillation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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