Image de couverture de livre

Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Qianchi, Zhang, Hainan, Pang, Liang, Tong, Yongxin, Zheng, Hongwei, Zheng, Zhiming
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
par: Zhang, Qianchi, et autres
Publié: (2026)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
par: Zhang, Qianchi, et autres
Publié: (2024)

Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models
par: Wang, Yujing, et autres
Publié: (2025)

Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
par: Chen, Jinwen, et autres
Publié: (2025)

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
par: Wang, Yujing, et autres
Publié: (2024)

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters
par: Liang, Zhilin, et autres
Publié: (2026)

Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation
par: Zhang, Ruiqi, et autres
Publié: (2026)

FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
par: Zhang, Zishuai, et autres
Publié: (2025)

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
par: Chen, Hao, et autres
Publié: (2025)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
par: Zheng, Yilun, et autres
Publié: (2025)

HyFedRAG: A Federated Retrieval-Augmented Generation Framework for Heterogeneous and Privacy-Sensitive Data
par: Qian, Cheng, et autres
Publié: (2025)

Can Synthetic Query Rewrites Capture User Intent Better than Humans in Retrieval-Augmented Generation?
par: Zheng, JiaYing, et autres
Publié: (2025)

From Unfamiliar to Familiar: Detecting Pre-training Data via Gradient Deviations in Large Language Models
par: Zhang, Ruiqi, et autres
Publié: (2026)

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
par: Riaz, Haris, et autres
Publié: (2025)

HSF: Defending against Jailbreak Attacks with Hidden State Filtering
par: Qian, Cheng, et autres
Publié: (2024)

Less is More: The Effectiveness of Compact Typological Language Representations
par: Ng, York Hay, et autres
Publié: (2025)

SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
par: Han, Jiayi, et autres
Publié: (2024)

Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language Models
par: Liu, Lingyuan, et autres
Publié: (2025)

LIMO: Less is More for Reasoning
par: Ye, Yixin, et autres
Publié: (2025)

Acting Less is Reasoning More! Teaching Model to Act Efficiently
par: Wang, Hongru, et autres
Publié: (2025)

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation
par: Xu, Zhichao, et autres
Publié: (2025)

Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models
par: Chen, Jinwen, et autres
Publié: (2025)

Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
par: Yang, Zhen, et autres
Publié: (2025)

Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers
par: Lou, Chao, et autres
Publié: (2024)

Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning
par: Sui, Yi, et autres
Publié: (2026)

Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
par: Xie, Tingyu, et autres
Publié: (2024)

Less is More: Improving LLM Alignment via Preference Data Selection
par: Deng, Xun, et autres
Publié: (2025)

Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
par: Schulte, David, et autres
Publié: (2024)

LimRank: Less is More for Reasoning-Intensive Information Reranking
par: Song, Tingyu, et autres
Publié: (2025)

Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
par: Soudani, Heydar, et autres
Publié: (2024)

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations
par: Feng, Zhangchi, et autres
Publié: (2024)

Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
par: Ding, Hanxing, et autres
Publié: (2024)

Less Data Less Tokens: Multilingual Unification Learning for Efficient Test-Time Reasoning in LLMs
par: Chen, Kang, et autres
Publié: (2025)

Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
par: Zhang, Chenyuan, et autres
Publié: (2026)

Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation
par: Waheed, Abdul, et autres
Publié: (2025)

Multiple Abstraction Level Retrieve Augment Generation
par: Zheng, Zheng, et autres
Publié: (2025)

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
par: Zhao, Weixiang, et autres
Publié: (2025)

You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
par: Chen, Shengyuan, et autres
Publié: (2025)

Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
par: Yue, Zihao, et autres
Publié: (2024)

EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation
par: Niu, Miaohe, et autres
Publié: (2026)