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20192026
most citedLarge Language Models for Information Retrieval: A Survey

98 citations · 486 across the 56 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.IR2025

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches

Jiejun Tan, Zhicheng Dou, Yan Yu +4

Recently, large reasoning models have demonstrated strong mathematical and coding abilities, and deep search leverages their reasoning capabilities in challenging information retri…

cs.LG2025★ 4 cited

Agentic Reinforced Policy Optimization

Guanting Dong, Hangyu Mao, Kai Ma +11

Large-scale reinforcement learning with verifiable rewards (RLVR) has demonstrated its effectiveness in harnessing the potential of large language models (LLMs) for single-turn rea…

cs.CV2025

VideoExplorer: Think With Videos For Agentic Long-Video Understanding

Huaying Yuan, Zheng Liu, Junjie Zhou +5

Long-video understanding~(LVU) is a challenging problem in computer vision. Existing methods either downsample frames for single-pass reasoning, sacrificing fine-grained details, o…

cs.CL2025

Neuro-Symbolic Query Compiler

Yuyao Zhang, Zhicheng Dou, Xiaoxi Li +5

Precise recognition of search intent in Retrieval-Augmented Generation (RAG) systems remains a challenging goal, especially under resource constraints and for complex queries with…

cs.IR2025

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms

Chen Xu, Zhirui Deng, Clara Rus +6

In modern information retrieval (IR). achieving more than just accuracy is essential to sustaining a healthy ecosystem, especially when addressing fairness and diversity considerat…

cs.CV2025

MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval

Huaying Yuan, Jian Ni, Zheng Liu +7

Accurately locating key moments within long videos is crucial for solving long video understanding (LVU) tasks. However, existing benchmarks are either severely limited in terms of…