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20232026
most citedLarge Language Models for Information Retrieval: A Survey

98 citations · 103 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation

Shuaiyi Li, Zhisong Zhang, Yan Wang +5

Block attention, which processes the input as separate blocks that cannot attend to one another, offers significant potential to improve KV cache reuse in long-context scenarios su…

cs.CL2025

UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression

Chenlong Deng, Zhisong Zhang, Kelong Mao +6

Large language models are increasingly capable of handling long-context inputs, but the memory overhead of key-value (KV) cache remains a major bottleneck for general-purpose deplo…

cs.CL2025

InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing

Shuaiyi Li, Zhisong Zhang, Yang Deng +6

Although existing model editing methods perform well in recalling exact edit facts, they often struggle in complex scenarios that require deeper semantic understanding rather than…

cs.CL2024

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression

Chenlong Deng, Zhisong Zhang, Kelong Mao +4

In this work, we provide a thorough investigation of gist-based context compression methods to improve long-context processing in large language models. We focus on two key questio…

cs.CL2024

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Zhisong Zhang, Yan Wang, Xinting Huang +5

Large language models have shown remarkable performance across a wide range of language tasks, owing to their exceptional capabilities in context modeling. The most commonly used m…

cs.CL2024★ 2 cited

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction

Chenlong Deng, Kelong Mao, Yuyao Zhang +1

Legal judgment prediction is essential for enhancing judicial efficiency. In this work, we identify that existing large language models (LLMs) underperform in this domain due to ch…

cs.CL2023★ 98 cited

Large Language Models for Information Retrieval: A Survey

Yutao Zhu, Huaying Yuan, Shuting Wang +7

As a primary means of information acquisition, information retrieval (IR) systems, such as search engines, have integrated themselves into our daily lives. These systems also serve…