https://github.com/nddsg/KGMiner
공식 코드Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nec-research/emu-kg
공식 코드Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
https://github.com/nec-research/fact-linking
공식 코드https://github.com/nec-research/recurrency_baseline_tkg
공식 코드History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
https://github.com/neerajas-group/rumors-in-multi-agent
공식 코드Simulating Rumor Spreading in Social Networks using LLM Agents
https://github.com/nercms-mmap/friendsqa
공식 코드https://github.com/nervjack2/SpeechChatGPTStreaming
공식 코드Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
https://github.com/netease-youdao/confucius3-math
공식 코드Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
https://github.com/netop-team/telco-rag
공식 코드Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications
https://github.com/nets4geeks/dockercomposedataset
공식 코드https://github.com/networks-learning/counterfactual-llms
공식 코드https://github.com/networks-learning/coupled-llm-evaluation
공식 코드Evaluation of Large Language Models via Coupled Token Generation
https://github.com/networks-learning/prediction-powered-ranking
공식 코드https://github.com/netx-lab/ayo
공식 코드Teola: Towards End-to-End Optimization of LLM-based Applications
https://github.com/neuhai/uxagent
공식 코드UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design
https://github.com/neuir/m2rag
공식 코드Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/neuir/rankcot
공식 코드RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
https://github.com/neukg/techgpt-2.0
공식 코드TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
https://github.com/neulab/ragged
공식 코드RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems
https://github.com/neuralmind-ai/visconde
공식 코드https://github.com/neviim96/breakgpt
공식 코드BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection
https://github.com/newiz430/pretext
공식 코드A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
https://github.com/ngl567/GANA-FewShotKGC
공식 코드https://github.com/ngl567/cake
공식 코드CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
https://github.com/ngl567/dhns
공식 코드Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
https://github.com/nhattlm95/tm_kg_dialogue
공식 코드Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
https://github.com/nheist/Cat2Ax
공식 코드https://github.com/nheist/caligraph-for-semrec
공식 코드https://github.com/nibzard/agent-perceptions
공식 코드Will Agents Replace Us? Perceptions of Autonomous Multi-Agent AI
https://github.com/nicerwang/joint-gcg
공식 코드Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems
https://github.com/nick-zheng-q/hdlxgraph
공식 코드HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases
https://github.com/nicoladainese96/code-world-models
공식 코드Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
https://github.com/nicolas-hbt/benchmark-sematk
공식 코드Sem@$K$: Is my knowledge graph embedding model semantic-aware?
https://github.com/nicolas-hbt/pygraft
공식 코드PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
https://github.com/nicolas-hbt/semantic-lossfunc
공식 코드https://github.com/nicolay-r/semeval2024-task3
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.