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Showing 51–100 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
On Monotonic Aggregation for Open-domain QACode0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy—0
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question AnsweringCode0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingCode0
TOME: A Two-stage Approach for Model-based Retrieval—0
MeeQA: Natural Questions in Meeting TranscriptsCode0
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training—0
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders—0
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein ProblemCode0
Zero-shot Clarifying Question Generation for Conversational Search—0
DSI++: Updating Transformer Memory with New Documents—0
Momentum Contrastive Pre-training for Question Answering—0
Closed-book Question Generation via Contrastive LearningCode0
Improving Question Answering with Generation of NQ-like Questions—0
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases—0
PROD: Progressive Distillation for Dense RetrievalCode0
Promptagator: Few-shot Dense Retrieval From 8 Examples—0
DPTDR: Deep Prompt Tuning for Dense Passage RetrievalCode0
Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation—0
Natural Questions in Icelandic—0
Unfooling Perturbation-Based Post Hoc ExplainersCode0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval—0
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