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Knowledge Graph Completion
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Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
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
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