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Showing 51–75 of 178 papers

TitleStatusHype
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented GenerationCode0
GRADA: Graph-based Reranker against Adversarial Documents AttackCode0
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge AcquisitionCode0
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption—0
S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning ModelsCode0
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception—0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection—0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation—0
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsCode0
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs—0
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style—0
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation—0
Unifying Multimodal Retrieval via Document Screenshot Embedding—0
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension—0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic SupervisionCode0
Summarization-Based Document IDs for Generative Retrieval with Language ModelsCode0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Retrieval meets Long Context Large Language Models—0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
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