https://github.com/openmeshlab/meshxl
공식 코드MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
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.
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer
ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation
EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
LLM4AD: A Platform for Algorithm Design with Large Language Model
IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
Boosting Disfluency Detection with Large Language Model as Disfluency Generator
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
Faithfully Explainable Recommendation via Neural Logic Reasoning
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
Rank1: Test-Time Compute for Reranking in Information Retrieval
Excuse me, sir? Your language model is leaking (information)
Fact-checking information from large language models can decrease headline discernment
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
AttributionBench: How Hard is Automatic Attribution Evaluation?
Automatic Evaluation of Attribution by Large Language Models
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
Completing A Systematic Review in Hours instead of Months with Interactive AI Agents
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.