Cover Image

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Chunyi, Xu, Zhipeng, Liu, Zhenghao, Li, Yishan, Yan, Yukun, Wang, Shuo, Gu, Yu, Yu, Minghe, Yu, Ge, Sun, Maosong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation
by: Sun, Yubo, et al.
Published: (2025)

Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
by: Wu, Zhuoyang, et al.
Published: (2025)

Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval
by: Wu, Mingyan, et al.
Published: (2026)

Structured Knowledge Representation through Contextual Pages for Retrieval-Augmented Generation
by: Li, Xinze, et al.
Published: (2026)

Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
by: Liu, Zhenghao, et al.
Published: (2026)

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
by: Liu, Shuliang, et al.
Published: (2025)

MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
by: Xin, Haidong, et al.
Published: (2026)

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking
by: Ji, Yifan, et al.
Published: (2025)

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
by: Duan, Shaohua, et al.
Published: (2025)

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
by: Wu, Mingyan, et al.
Published: (2025)

ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
by: Yang, Hao, et al.
Published: (2026)

Building A Coding Assistant via the Retrieval-Augmented Language Model
by: Li, Xinze, et al.
Published: (2024)

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
by: Jin, Zhensheng, et al.
Published: (2025)

KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs
by: Wu, Dingjun, et al.
Published: (2025)

NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
by: Dai, Jihao, et al.
Published: (2026)

Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains
by: Xiong, Yuqi, et al.
Published: (2026)

Legal$Δ$: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain
by: Dai, Xin, et al.
Published: (2025)

ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
by: Xu, Zhipeng, et al.
Published: (2024)

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
by: Li, Xinze, et al.
Published: (2024)

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
by: Huang, Pengcheng, et al.
Published: (2025)

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
by: Liu, Shuliang, et al.
Published: (2025)

Cleaner Pretraining Corpus Curation with Neural Web Scraping
by: Xu, Zhipeng, et al.
Published: (2024)

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
by: Zeng, Zheni, et al.
Published: (2024)

UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
by: Ji, Yifan, et al.
Published: (2026)

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
by: Chen, Hao, et al.
Published: (2025)

DeepNote: Note-Centric Deep Retrieval-Augmented Generation
by: Wang, Ruobing, et al.
Published: (2024)

Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
by: Li, Xinze, et al.
Published: (2024)

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
by: Yu, Shi, et al.
Published: (2024)

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
by: Zhu, Kunlun, et al.
Published: (2024)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
by: Li, Yongjian, et al.
Published: (2025)

LegalDuet: Learning Fine-grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning
by: Xu, Buqiang, et al.
Published: (2024)

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
by: Wang, Haoyu, et al.
Published: (2024)

Empirical Analysis of Decoding Biases in Masked Diffusion Models
by: Huang, Pengcheng, et al.
Published: (2025)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
by: Xu, Xiaoang, et al.
Published: (2025)

Revealing the Attention Floating Mechanism in Masked Diffusion Models
by: Dai, Xin, et al.
Published: (2026)

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization
by: Yang, Zhiyu, et al.
Published: (2024)

Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs
by: Ma, Maotian, et al.
Published: (2026)

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis
by: Yang, Weiqing, et al.
Published: (2024)

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
by: Liu, Zhenghao, et al.
Published: (2025)