https://github.com/mangopy/direct-rag-learning
공식 코드Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
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Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
CroissantLLM: A Truly Bilingual French-English Language Model
LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics
Evaluating Search Engines and Large Language Models for Answering Health Questions
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
DNAHLM -- DNA sequence and Human Language mixed large language Model
Capturing Humans' Mental Models of AI: An Item Response Theory Approach
AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline
RankGen: Improving Text Generation with Large Ranking Models
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
Comparative Analysis of AI Agent Architectures for Entity Relationship Classification
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
LLMs in Biomedicine: A study on clinical Named Entity Recognition
DARWIN Series: Domain Specific Large Language Models for Natural Science
DARWIN Series: Domain Specific Large Language Models for Natural Science
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table
Variational Learning for Unsupervised Knowledge Grounded Dialogs
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
A Critical Assessment of State-of-the-Art in Entity Alignment
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpedia
FIRE: Fact-checking with Iterative Retrieval and Verification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.