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Inductive knowledge graph completion
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tigerchen52/pub_guard_llm
공식 코드Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations
https://github.com/tigerresearch/tigerbot
공식 코드SoftTiger: A Clinical Foundation Model for Healthcare Workflows
https://github.com/tigerwww-git/rt-kgd
공식 코드RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
https://github.com/tingchenfu/poisonbench
공식 코드PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
https://github.com/tingjshen/urllm
공식 코드https://github.com/tisage/cybermentor
공식 코드https://github.com/tjtp/d2controller
공식 코드https://github.com/tjtp/kdar
공식 코드https://github.com/tjunlp-lab/awesome-llm-safety-papers
공식 코드https://github.com/tjunlp-lab/cmoraleval
공식 코드CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
https://github.com/tjunlp-lab/fuxitranyu
공식 코드FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
https://github.com/tjzvbokbnft/ELITE-Embedding-Less-retrieval-with-Iterative-Text-Exploration
공식 코드ELITE: Embedding-Less retrieval with Iterative Text Exploration
https://github.com/tkenneweg/rag_dataset_gen
공식 코드https://github.com/tkipf/relational-gcn
공식 코드https://github.com/tmlr-group/deepinception
공식 코드DeepInception: Hypnotize Large Language Model to Be Jailbreaker
https://github.com/tmlr-group/one-shot-subgraph
공식 코드Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
https://github.com/tmlr-group/wca
공식 코드Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
https://github.com/tobias-opsahl/fact-or-fiction
공식 코드https://github.com/tobischimanski/climretrieve
공식 코드ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
https://github.com/tolusophy/Edge-of-Tomorrow
공식 코드On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
https://github.com/tom192180/Generate_then_Refine
공식 코드Generate then Refine: Data Augmentation for Zero-shot Intent Detection
https://github.com/tomchen-ctj/OST
공식 코드OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
https://github.com/tomsawyerhu/lrp4rag
공식 코드https://github.com/toneli/hnzslp
공식 코드A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
https://github.com/toneli/petailor-for-bio-triple-extraction
공식 코드Benchingmaking Large Langage Models in Biomedical Triple Extraction
https://github.com/tongji-kgllm/rag-survey
공식 코드Retrieval-Augmented Generation for Large Language Models: A Survey
https://github.com/tongji-kgllm/u-niah
공식 코드U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
https://github.com/tongjifinlab/cfbenchmark
공식 코드CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model
https://github.com/tongjifinlab/cfgpt
공식 코드CFGPT: Chinese Financial Assistant with Large Language Model
https://github.com/tongzhou21/CogMG
공식 코드CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
https://github.com/tongzhou21/oasis
공식 코드Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
https://github.com/tonichopp/ecamp
공식 코드ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
https://github.com/tonychenxyz/selfie
공식 코드SelfIE: Self-Interpretation of Large Language Model Embeddings
https://github.com/tonyzhang617/nomad-dist
공식 코드NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
https://github.com/tool-lmm/tool-lmm
공식 코드MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning
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