https://github.com/awslabs/rag-qa-arena
공식 코드RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
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RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Progressive Text-to-Image Diffusion with Soft Latent Direction
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction
Agentic Society: Merging skeleton from real world and texture from Large Language Model
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and Impersonation
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
Establishing baselines for generative discovery of inorganic crystals
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone Sensors
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
A Survey of Multimodal Large Language Model from A Data-centric Perspective
FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
PLeak: Prompt Leaking Attacks against Large Language Model Applications
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.