Zhangyue Yin

Orcid: 0009-0008-0620-8271

According to our database1, Zhangyue Yin authored at least 22 papers between 2022 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
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR, 2024

Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem.
CoRR, 2024

Turn Waste into Worth: Rectifying Top-k Router of MoE.
CoRR, 2024

Can AI Assistants Know What They Don't Know?
CoRR, 2024

2023
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci., November, 2023

A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks.
IEEE Trans. Big Data, August, 2023

A Survey of Reasoning with Foundation Models.
CoRR, 2023

LLatrieval: LLM-Verified Retrieval for Verifiable Generation.
CoRR, 2023

Evaluating Hallucinations in Chinese Large Language Models.
CoRR, 2023

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.
CoRR, 2023

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Label Smoothing on Multi-Hop Question Answering.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Graph Structure Learning via Lottery Hypothesis at Scale.
Proceedings of the Asian Conference on Machine Learning, 2023

Do Large Language Models Know What They Don't Know?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks.
CoRR, 2022

What Dense Graph Do You Need for Self-Attention?
CoRR, 2022

TURNER: The Uncertainty-based Retrieval Framework for Chinese NER.
CoRR, 2022

What Dense Graph Do You Need for Self-Attention?
Proceedings of the International Conference on Machine Learning, 2022

Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


  Loading...