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20222026
most citedPersonalization of Large Language Models: A Survey

15 citations · 43 across the 70 of their papers we have counts for

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cs.IR2026

Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval

Zhisheng Qi, Haoyu Han, Jiaxi Li +9

Structured knowledge retrieval acquires task-relevant evidence from structured knowledge sources for downstream tasks. Existing methods rely on unconstrained retrieval or predefine…

cs.IR2026

RL-Index: Reinforcement Learning for Retrieval Index Reasoning

Yongjia Lei, Nedim Lipka, Zhisheng Qi +7

Retrieving external knowledge is crucial for real-world tasks but remains difficult when queries and relevant knowledge are linked by implicit reasoning (e.g., shared theorems or c…

cs.IR2026

Multimodal Music Recommendation System using LLMs

Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu +6

Music recommendation systems typically treat songs as opaque tokens, relying on collaborative interaction histories which overlooks semantic or acoustic content. Prior work has exp…

cs.IR2026

Test-Time Strategies for More Efficient and Accurate Agentic RAG

Brian Zhang, Deepti Guntur, Zhiyang Zuo +7

Retrieval-Augmented Generation (RAG) systems face challenges with complex, multihop questions, and agentic frameworks such as Search-R1 (Jin et al., 2025), which operates iterative…

cs.IR2025

Document Attribution: Examining Citation Relationships using Large Language Models

Vipula Rawte, Ryan A. Rossi, Franck Dernoncourt +1

As Large Language Models (LLMs) are increasingly applied to document-based tasks - such as document summarization, question answering, and information extraction - where user requi…