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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds
CRAFT: Training-Free Cascaded Retrieval for Tabular QA
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
GRADA: Graph-based Reranker against Adversarial Documents Attack
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone Sensors
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Unifying Multimodal Retrieval via Document Screenshot Embedding
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
KazQAD: Kazakh Open-Domain Question Answering Dataset
Multi-Granularity Guided Fusion-in-Decoder
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
Summarization-Based Document IDs for Generative Retrieval with Language Models
JADE: A Linguistics-based Safety Evaluation Platform for Large Language Models
Poisoning Retrieval Corpora by Injecting Adversarial Passages
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
Retrieval meets Long Context Large Language Models
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