:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Guo, Huang, Junjie, Xie, Huaijin, Sun, Fei, Jia, Tao
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2512.18329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
by: Li, Chunyu, et al.
Published: (2026)

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs
by: Chen, Haotian, et al.
Published: (2025)

R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
by: Ye, Fuda, et al.
Published: (2024)

mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA
by: Zhang, Tao, et al.
Published: (2024)

Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2026)

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
by: Xu, Haike, et al.
Published: (2025)

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation
by: Song, Zhipeng, et al.
Published: (2026)

GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
by: Miao, Ruizhong, et al.
Published: (2026)

Retrieval-Augmented Generation with Hierarchical Knowledge
by: Huang, Haoyu, et al.
Published: (2025)

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
by: Gupta, Dhruv, et al.
Published: (2025)

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
by: Zhang, Xin, et al.
Published: (2024)

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis
by: Cheng, Zhiyuan, et al.
Published: (2026)

QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain
by: Wei, Qikai, et al.
Published: (2024)

LIR: A Lightweight Baseline for Image Restoration
by: Fan, Dongqi, et al.
Published: (2024)

Reason and Verify: A Framework for Faithful Retrieval-Augmented Generation
by: Khan, Eeham, et al.
Published: (2026)

DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering
by: Chen, Haotian, et al.
Published: (2026)

SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
by: Huang, Yongfeng, et al.
Published: (2026)

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
by: Chen, Zhanpeng, et al.
Published: (2024)

LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems
by: Song, Zhipeng, et al.
Published: (2026)

Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
by: Li, Mingxin, et al.
Published: (2026)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
by: Jia, Pengyue, et al.
Published: (2024)

TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
by: Yu, Xiaohan, et al.
Published: (2025)

FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning
by: Guo, Zebin, et al.
Published: (2026)

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
by: Compagnoni, Alberto, et al.
Published: (2025)

HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse
by: An, Yuwei, et al.
Published: (2025)

TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2026)

Retrieval-Augmented Feature Generation for Domain-Specific Classification
by: Zhang, Xinhao, et al.
Published: (2024)

Corrective Retrieval Augmented Generation
by: Yan, Shi-Qi, et al.
Published: (2024)

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
by: Park, Sangkwon, et al.
Published: (2026)

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
by: Chen, Zhuo, et al.
Published: (2024)

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
by: Guo, Hanghui, et al.
Published: (2025)

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications
by: Marom, Ofir
Published: (2025)

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

Comparative Analysis of Neural Retriever-Reranker Pipelines for Retrieval-Augmented Generation over Knowledge Graphs in E-commerce Applications
by: Rumble, Teri, et al.
Published: (2025)

RAAR: Retrieval Augmented Agentic Reasoning for Cross-Domain Misinformation Detection
by: Liu, Zhiwei, et al.
Published: (2026)

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
by: Chen, Teng, et al.
Published: (2026)

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
by: Wang, Zihan, et al.
Published: (2025)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization
by: Huang, Siyuan, et al.
Published: (2025)

Grounding Long-Context Reasoning with Contextual Normalization for Retrieval-Augmented Generation
by: Chen, Jiamin, et al.
Published: (2025)