Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 4
- 보존된 평가 기록
- 19
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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithmic Coding
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling
Theoretical Analysis of Byte-Pair Encoding
Large Language Model Guided Self-Debugging Code Generation
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations
GeoReg: Weight-Constrained Few-Shot Regression for Socio-Economic Estimation using LLM
A Survey of Context Engineering for Large Language Models
Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
Developing Visual Augmented Q&A System using Scalable Vision Embedding Retrieval & Late Interaction Re-ranker
Assay2Mol: large language model-based drug design using BioAssay context
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation
Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander
KptLLM++: Towards Generic Keypoint Comprehension with Large Language Model
Mixture of Experts in Large Language Models
Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias
MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire Detection
LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification
Seq vs Seq: An Open Suite of Paired Encoders and Decoders
LRMR: LLM-Driven Relational Multi-node Ranking for Lymph Node Metastasis Assessment in Rectal Cancer
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Iceberg: Enhancing HLS Modeling with Synthetic Data
Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis
MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking
Chat with AI: The Surprising Turn of Real-time Video Communication from Human to AI
Token Compression Meets Compact Vision Transformers: A Survey and Comparative Evaluation for Edge AI
PoseLLM: Enhancing Language-Guided Human Pose Estimation with MLP Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.