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Retrieval-augmented Generation

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Showing 1376–1400 of 2196 papers

TitleStatusHype
Reward-RAG: Enhancing RAG with Reward Driven Supervision—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation—0
Intrinsic Evaluation of RAG Systems for Deep-Logic Questions—0
Streamlining Conformal Information Retrieval via Score Refinement—0
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers—0
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent CollaborationCode1
Undesirable Memorization in Large Language Models: A Survey—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
How Much Can RAG Help the Reasoning of LLM?—0
IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models—0
Enhancing Retrieval in QA Systems with Derived Feature AssociationCode0
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks—0
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented GenerationCode0
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language ModelsCode2
Classifying Peace in Global Media Using RAG and Intergroup Reciprocity—0
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design PerspectiveCode0
UniAdapt: A Universal Adapter for Knowledge Calibration—0
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis—0
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation—0
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language ModelsCode0
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain—0
Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with FeedbackCode0
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