:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Jingyu, Lin, Jiaen, Liu, Yong
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2601.01896
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

How Much Can RAG Help the Reasoning of LLM?
par: Liu, Jingyu, et autres
Publié: (2024)

Optimizing Multi-Hop Document Retrieval Through Intermediate Representations
par: Lin, Jiaen, et autres
Publié: (2025)

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
par: Liu, Xukai, et autres
Publié: (2025)

SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
par: Si, Xiaonan, et autres
Publié: (2025)

Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
par: Bae, Sanghwan, et autres
Publié: (2025)

RealHarm: A Collection of Real-World Language Model Application Failures
par: Jeune, Pierre Le, et autres
Publié: (2025)

Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG
par: Setiawan, David Samuel, et autres
Publié: (2026)

GRADE: Generating multi-hop QA and fine-gRAined Difficulty matrix for RAG Evaluation
par: Lee, Jeongsoo, et autres
Publié: (2025)

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control
par: Liu, Huanshuo, et autres
Publié: (2024)

Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets
par: Yang, Yuchen, et autres
Publié: (2026)

The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations
par: Zhu, Yubo, et autres
Publié: (2025)

FB-RAG: Improving RAG with Forward and Backward Lookup
par: Chawla, Kushal, et autres
Publié: (2025)

SKILL-RAG: Self-Knowledge Induced Learning and Filtering for Retrieval-Augmented Generation
par: Isoda, Tomoaki
Publié: (2025)

Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata
par: Poliakov, Mykhailo, et autres
Publié: (2024)

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
par: Wu, Yongxuan, et autres
Publié: (2025)

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
par: Zhu, Kun, et autres
Publié: (2024)

Large Language Models Understanding: an Inherent Ambiguity Barrier
par: Nissani, Daniel N.
Publié: (2025)

Revealing the Inherent Instructability of Pre-Trained Language Models
par: An, Seokhyun, et autres
Publié: (2024)

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation
par: Liu, Jingyu, et autres
Publié: (2025)

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
par: Lin, Junhong, et autres
Publié: (2025)

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
par: Huang, Tiansheng, et autres
Publié: (2024)

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
par: Zhang, Ziqian, et autres
Publié: (2026)

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery
par: Yang, Zhenyuan, et autres
Publié: (2024)

HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation
par: Liu, Pei, et autres
Publié: (2025)

RAG Makes Guardrails Unsafe? Investigating Robustness of Guardrails under RAG-style Contexts
par: She, Yining, et autres
Publié: (2025)

VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples
par: Sun, Qixin, et autres
Publié: (2025)

Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
par: Dai, Yanqi, et autres
Publié: (2026)

ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
par: Nkhata, Gibson, et autres
Publié: (2026)

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
par: Zhuang, Ziyuan, et autres
Publié: (2024)

Generating Leakage-Free Benchmarks for Robust RAG Evaluation
par: Liu, Jiayi, et autres
Publié: (2026)

CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models
par: Tan, Zhehao, et autres
Publié: (2026)

ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
par: Wang, Chenyu, et autres
Publié: (2026)

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
par: Wang, Huandong, et autres
Publié: (2025)

TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
par: Lu, Pengqian, et autres
Publié: (2025)

Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
par: Li, Ming, et autres
Publié: (2025)

CARE-RAG - Clinical Assessment and Reasoning in RAG
par: Potluri, Deepthi, et autres
Publié: (2025)

A Shared Geometry of Difficulty in Multilingual Language Models
par: Civelli, Stefano, et autres
Publié: (2026)

Question Difficulty Ranking for Multiple-Choice Reading Comprehension
par: Raina, Vatsal, et autres
Publié: (2024)

Probing the Difficulty Perception Mechanism of Large Language Models
par: Lee, Sunbowen, et autres
Publié: (2025)

Revisiting Generalization Across Difficulty Levels: It's Not So Easy
par: Kordi, Yeganeh, et autres
Publié: (2025)