Search Results for author: Yunan Zhang

Found 9 papers, 2 papers with code

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

no code implementations3 Oct 2023 Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao

In this study, we introduce adaptive KV cache compression, a plug-and-play method that reduces the memory footprint of generative inference for Large Language Models (LLMs).

A Neural Span-Based Continual Named Entity Recognition Model

1 code implementation23 Feb 2023 Yunan Zhang, Qingcai Chen

Named Entity Recognition (NER) models capable of Continual Learning (CL) are realistically valuable in areas where entity types continuously increase (e. g., personal assistants).

Continual Named Entity Recognition Knowledge Distillation +3

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank

no code implementations28 Dec 2022 Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork

We give both theoretical analysis and empirical results to show the negative effects on relevance tower due to such a correlation.

Learning-To-Rank

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction

1 code implementation20 Dec 2021 Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang

Recent works have shown explainability and robustness are two crucial ingredients of trustworthy and reliable text classification.

text-classification Text Classification

No Feature Is An Island: Adaptive Collaborations Between Features Improve Adversarial Robustness

no code implementations1 Jan 2021 Yufeng Zhang, Yunan Zhang, ChengXiang Zhai

To classify images, neural networks extract features from raw inputs and then sum them up with fixed weights via the fully connected layer.

Adversarial Robustness counterfactual

Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach

no code implementations4 Dec 2019 Yunan Zhang, Xiang Cheng, Heting Gao, ChengXiang Zhai

We model the question answering on KG as a cooperative task between two agents, a knowledge graph reasoning agent and an information extraction agent.

Question Answering

Macross: Urban Dynamics Modeling based on Metapath Guided Cross-Modal Embedding

no code implementations28 Nov 2019 Yunan Zhang, Heting Gao, Tarek Abdelzaher

As the ongoing rapid urbanization takes place with an ever-increasing speed, fully modeling urban dynamics becomes more and more challenging, but also a necessity for socioeconomic development.

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