activity
20212025
most citedZigZagkv: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision

Yongqi Leng, Yikun Lei, Xikai Liu +7

Agentic Retrieval-Augmented Generation (Agentic RAG) enhances the processing capability for complex tasks through dynamic retrieval and adaptive workflows. Recent advances (e.g., S…

cs.CL2024★ 1 cited

ZigZagkv: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty

Meizhi Zhong, Xikai Liu, Chen Zhang +5

Large Language models (LLMs) have become a research hotspot. To accelerate the inference of LLMs, storing computed caches in memory has become the standard technique. However, as t…

cs.CL2024★ 1 cited

Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective

Meizhi Zhong, Chen Zhang, Yikun Lei +5

Enabling LLMs to handle lengthy context is currently a research hotspot. Most LLMs are built upon rotary position embedding (RoPE), a popular position encoding method. Therefore, a…

cs.CL2023

Towards a Deep Understanding of Multilingual End-to-End Speech Translation

Haoran Sun, Xiaohu Zhao, Yikun Lei +2

In this paper, we employ Singular Value Canonical Correlation Analysis (SVCCA) to analyze representations learnt in a multilingual end-to-end speech translation model trained over…

cs.CL2021

NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension

Zhixiang Chen, Yikun Lei, Pai Liu +1

SemEval task 4 aims to find a proper option from multiple candidates to resolve the task of machine reading comprehension. Most existing approaches propose to concat question and o…