Zhangyue Yin

Orcid: 0009-0008-0620-8271

According to our database1, Zhangyue Yin authored at least 30 papers between 2022 and 2024.

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

Timeline

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Bibliography

2024
MOSS: An Open Conversational Large Language Model.
Mach. Intell. Res., October, 2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR, 2024

LLatrieval: LLM-Verified Retrieval for Verifiable Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can AI Assistants Know What They Don't Know?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Turn Waste into Worth: Rectifying Top-k Router of MoE.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Explicit Memory Learning with Expectation Maximization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unified Active Retrieval for Retrieval Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

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


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