Yunhua Zhou

According to our database1, Yunhua Zhou authored at least 26 papers between 2009 and 2024.

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

Timeline

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Links

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Bibliography

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

BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments.
CoRR, 2024

Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.
CoRR, 2024

Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures.
CoRR, 2024

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.
CoRR, 2024

Data-freeWeight Compress and Denoise for Large Language Models.
CoRR, 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

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Code Needs Comments: Enhancing Code LLMs with Comment Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Probabilistic Framework for Discovering New Intents.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Open Environment Intent Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Discovering New Intents Using Latent Variables.
CoRR, 2022

An Open-World Lottery Ticket for Out-of-Domain Intent Classification.
CoRR, 2022

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

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

BBTv2: Towards a Gradient-Free Future with Large Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

KNN-Contrastive Learning for Out-of-Domain Intent Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Early Exiting with Ensemble Internal Classifiers.
CoRR, 2021

2019
Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2009
A Uniform Construction of New Exact Travelling Wave Solutions and its Applications.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009


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