https://github.com/bezirganyan/luma
공식 코드LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
Papers with Code 아카이브
Knowledge Graph Completion
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- 평가표
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- 보존된 평가 기록
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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/bhui97/pleak
공식 코드PLeak: Prompt Leaking Attacks against Large Language Model Applications
https://github.com/bhushank/kge-rl
공식 코드Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
https://github.com/bids-xu-lab/clinical_entity_recognition_using_gpt_models
공식 코드Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
https://github.com/bigai-nlco/docgnre
공식 코드https://github.com/bilaliman/rv_explainability
공식 코드Generating Zero-shot Abstractive Explanations for Rumour Verification
https://github.com/bilel-bj/rosgpt_vision
공식 코드ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts
https://github.com/bin123apple/autocoder
공식 코드AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}
https://github.com/bingreeky/MaAS
공식 코드https://github.com/bingreeky/gmemory
공식 코드G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
https://github.com/biogemt/agentomics-ml
공식 코드Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
https://github.com/birco-benchmark/birco
공식 코드BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives
https://github.com/birdchristopher/sale
공식 코드SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling
https://github.com/bkane2/habitual-response-generation
공식 코드We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responses
https://github.com/bklight999/www25-gcoder
공식 코드GCoder: Improving Large Language Model for Generalized Graph Problem Solving
https://github.com/bkolosk1/bablfusion
공식 코드AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification
https://github.com/blazerye/drugassist
공식 코드DrugAssist: A Large Language Model for Molecule Optimization
https://github.com/blender-nlp/smartbook
공식 코드SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts
https://github.com/bluorion-com/ZClip
공식 코드https://github.com/bluorion-com/weight_rescaling
공식 코드https://github.com/bmi-labmedinfo/nlp-radiology-paper
공식 코드Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
https://github.com/bmiao10/contraceptive-switching
공식 코드Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models
https://github.com/bminixhofer/alm
공식 코드Cross-Tokenizer Distillation via Approximate Likelihood Matching
https://github.com/bohanhou14/clerc
공식 코드CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
https://github.com/booydar/babilong
공식 코드In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
https://github.com/bopan3/vis-shepherd
공식 코드VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation
https://github.com/boschresearch/autoclip
공식 코드AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
https://github.com/bowang-lab/bioreason
공식 코드BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
https://github.com/bowang-lab/clinical-camel
공식 코드Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
https://github.com/bowang-lab/medrax
공식 코드https://github.com/bowen-upenn/scene_graph_commonsense
공식 코드Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
https://github.com/bplaut/llm-calibration-and-correctness-prediction
공식 코드Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
https://github.com/bplaut/softmax-probs-predict-llm-correctness
공식 코드Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
https://github.com/bradleypallen/evaluating-kg-class-memberships-using-llms
공식 코드Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
https://github.com/bradleypallen/zero-shot-classifiers-for-conceptual-engineering
공식 코드https://github.com/bradyfu/awesome-multimodal-large-language-models
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.