Jingyan Zhou

According to our database1, Jingyan Zhou authored at least 14 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
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.
CoRR, 2024

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

Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?
CoRR, 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

2022
PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model.
CoRR, 2022

Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks.
CoRR, 2022

Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understanding.
CoRR, 2022

COLD: A Benchmark for Chinese Offensive Language Detection.
CoRR, 2022

Overview of NLPCC 2022 Shared Task 7: Fine-Grained Dialogue Social Bias Measurement.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

COLD: A Benchmark for Chinese Offensive Language Detection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation.
CoRR, 2021

Automatic Extraction of Semantic Patterns in Dialogs using Convex Polytopic Model.
Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

2020
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020


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