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Knowledge Graph Completion

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하위 태스크: 4
평가표: 7
보존된 평가 기록: 17

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: $(h, r, ?)$.

Source: One-Shot Relational Learning for Knowledge Graphs

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/shainarazavi/safe-responsible-llm

공식 코드

Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?

https://github.com/shaojintian/power_law_decay

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Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation Quality

https://github.com/shaoxiongji/awesome-knowledge-graph

공식 코드

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

https://github.com/shark-nlp/openicl

공식 코드

OpenICL: An Open-Source Framework for In-context Learning

https://github.com/sharonlevy/contextualquestions

공식 코드

Evaluating Biases in Context-Dependent Health Questions

https://github.com/shawnhuang497/bird

공식 코드

A Refer-and-Ground Multimodal Large Language Model for Biomedicine

https://github.com/shawnhuang497/medplib

공식 코드

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine

https://github.com/shawnkx/Decom

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Decompressing Knowledge Graph Representations for Link Prediction

https://github.com/shawnye2000/creagent

공식 코드

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry

https://github.com/shayankiyani98/cp

공식 코드

Length Optimization in Conformal Prediction

https://github.com/shayantalaei/chess

공식 코드

CHESS: Contextual Harnessing for Efficient SQL Synthesis

https://github.com/sheikhshafayat/multi-fact

공식 코드

Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore

https://github.com/shengwei-tian/dependency-parser-visualization

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AutoLLM-CARD: Towards a Description and Landscape of Large Language Models

https://github.com/shentianxiao/film

공식 코드

FiLM: Fill-in Language Models for Any-Order Generation

https://github.com/shenyanghuang/tgb

공식 코드

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

https://github.com/shijiawenwen/judgedeceiver

공식 코드

Optimization-based Prompt Injection Attack to LLM-as-a-Judge

https://github.com/shiluohe/referencetrustabledecoding

공식 코드

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

https://github.com/shiralkarprashant/knowledgestream

공식 코드

Finding Streams in Knowledge Graphs to Support Fact Checking

https://github.com/shoron-dutta/MALOnt-1

공식 코드

MALOnt: An Ontology for Malware Threat Intelligence

https://github.com/shoron-dutta/cblip

공식 코드

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion

https://github.com/showlab/videolisa

공식 코드

One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

https://github.com/shrango/poss

공식 코드

POSS: Position Specialist Generates Better Draft for Speculative Decoding

https://github.com/shtuplus/iccc_cvpr2024

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Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning

https://github.com/shubhamagarwal92/litllm

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LitLLM: A Toolkit for Scientific Literature Review

https://github.com/shumkashun/first

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FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation

https://github.com/shuoli90/traq

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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

https://github.com/shuwen-liu-ox/loginfer

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Revisiting Inferential Benchmarks for Knowledge Graph Completion

https://github.com/si0wang/visvm

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Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension

https://github.com/sib-swiss/sparql-llm

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LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs

https://github.com/sichunluo/rallrec_plus

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RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning

https://github.com/sichunluo/recranker

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RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation

https://github.com/siddharthl93/design_kgex

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Retrieval Augmented Generation using Engineering Design Knowledge

https://github.com/siddharthl93/engineering-design-knowledge

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Retrieval Augmented Generation using Engineering Design Knowledge

https://github.com/sienna-wxy/kdgene

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Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction

https://github.com/sierra-research/tau2-bench

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$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

https://github.com/silin159/comfact

공식 코드

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge

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