https://github.com/silin159/peacok
공식 코드PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency Validation
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Large language models can be zero-shot anomaly detectors for time series?
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
Causality-aware Concept Extraction based on Knowledge-guided Prompting
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Citekit: A Modular Toolkit for Large Language Model Citation Generation
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Composing Parameter-Efficient Modules with Arithmetic Operations
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Towards General Visual-Linguistic Face Forgery Detection(V2)
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.