Papers with Code 아카이브
Knowledge Graph Completion
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- 7
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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: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/strong-ai-lab/logical-equivalence-driven-amr-data-augmentation-for-representation-learning
공식 코드Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
https://github.com/studyzx/gesturegpt_iss
공식 코드GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents
https://github.com/suamin/LowFER
공식 코드https://github.com/suamin/umls-medline-distant-re
공식 코드A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction
https://github.com/sufe-aiflm-lab/fin-r1
공식 코드Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
https://github.com/sufianj/def_extraction
공식 코드Extracting Definienda in Mathematical Scholarly Articles with Transformers
https://github.com/sugarandgugu/GaVaMoE
공식 코드GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
https://github.com/suletekkesinoglu/xai_llm_rag
공식 코드From Feature Importance to Natural Language Explanations Using LLMs with RAG
https://github.com/sunblaze-ucb/cybergym
공식 코드CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale
https://github.com/sunflower-the-cat/DAEA
공식 코드https://github.com/sunipa/Abs-Orientation
공식 코드https://github.com/sunnynexus/retrollm
공식 코드RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
https://github.com/sunnynexus/search-o1
공식 코드https://github.com/sunshy-1/HCMKR
공식 코드Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
https://github.com/suprityoung/zhongjing
공식 코드https://github.com/susantiyuni/path-to-causality
공식 코드https://github.com/susavlsh10/polar-sparsity
공식 코드Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity
https://github.com/sushantgautam/factgenius
공식 코드https://github.com/sutaoyu/CDMEA
공식 코드Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
https://github.com/sutaoyu/IBMEA
공식 코드IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment
https://github.com/sutaoyu/LoginMEA
공식 코드LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment
https://github.com/svakulenk0/KBQA
공식 코드Message Passing for Complex Question Answering over Knowledge Graphs
https://github.com/svjan5/kg-reeval
공식 코드https://github.com/swaggy66/M-ABSA
공식 코드M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
https://github.com/swagshaw/wilddesed
공식 코드WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System
https://github.com/swathi-shree-narashiman/alphazip
공식 코드https://github.com/swordlidev/llava-vsd
공식 코드LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
https://github.com/sxswz213/crsec
공식 코드Emergence of Social Norms in Generative Agent Societies: Principles and Architecture
https://github.com/sy-shi/RLAIF_ScoreDiff
공식 코드Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models
https://github.com/sybeam27/IAP-ZSAS
공식 코드Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
https://github.com/sycny/chatgraph
공식 코드ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
https://github.com/sydney-machine-learning/sentimentanalysis-bible
공식 코드Large language model for Bible sentiment analysis: Sermon on the Mount
https://github.com/synlp/chimed-gpt
공식 코드https://github.com/sysll/CovidLLM
공식 코드https://github.com/sysuselab/rustevo
공식 코드RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.