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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/houcharlie/pre-text

공식 코드

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

https://github.com/howardli0816/dual-fusion-diffusion

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Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement

https://github.com/hpcaitech/colossalai

공식 코드

Elixir: Train a Large Language Model on a Small GPU Cluster

https://github.com/hpcaitech/elixir

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Elixir: Train a Large Language Model on a Small GPU Cluster

https://github.com/hplt-project/monolingual-multilingual-instruction-tuning

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Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

https://github.com/hritikbansal/videocon

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VideoCon: Robust Video-Language Alignment via Contrast Captions

https://github.com/hrlics/lite

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LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

https://github.com/hse-cs/migtf

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Knowledge Graph Completion with Mixed Geometry Tensor Factorization

https://github.com/hsliu-initial/ctrla

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CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control

https://github.com/hsm316/llm_wikipedia

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Wikipedia in the Era of LLMs: Evolution and Risks

https://github.com/hsu-aut/aml-shacl

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Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL

https://github.com/huangd1999/EmpiricalStudyofTestGeneration

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Measuring the Influence of Incorrect Code on Test Generation

https://github.com/huangl22/chat3gpp

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Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents

https://github.com/huangyuxiang03/Locret

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Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices

https://github.com/huawei-lin/rapidin

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Token-wise Influential Training Data Retrieval for Large Language Models

https://github.com/huawei-noah/hebo

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ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

https://github.com/huda-hakami/learning-to-borrow-for-kgs

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Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion

https://github.com/huenao/debate-augmented-rag

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Removal of Hallucination on Hallucination: Debate-Augmented RAG

https://github.com/huggingface/autotrain-advanced

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AutoTrain: No-code training for state-of-the-art models

https://github.com/huggingface/transformers

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Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

https://github.com/huggingface/transformers/tree/master/examples/research_projects/rag-end2end-retriever

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Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering

https://github.com/hughvd/um-cai-fellowship

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From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries

https://github.com/huichizhou/trustrag

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TrustRAG: Enhancing Robustness and Trustworthiness in RAG

https://github.com/huihuichyan/unlimitedjudge

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An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

https://github.com/huiminzeng/gpt-fedrec

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Federated Recommendation via Hybrid Retrieval Augmented Generation

https://github.com/humanmllm/humanomniv2

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HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context

https://github.com/huntila/scholarly-kgqa

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Leveraging LLMs in Scholarly Knowledge Graph Question Answering

https://github.com/hurlab/vaccine-adjuvant-llm

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Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

https://github.com/huskyinsalt/crag

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Corrective Retrieval Augmented Generation

https://github.com/hwanchang00/CoPriva

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Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering

https://github.com/hwq0726/sdohenpkg

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Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs

https://github.com/hwwang55/PathCon

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Relational Message Passing for Knowledge Graph Completion

https://github.com/hwy9855/gsr

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Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA

https://github.com/hyc2026/StoryTeller

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StoryTeller: Improving Long Video Description through Global Audio-Visual Character Identification

https://github.com/hyeonjeongha/mm-poisonrag

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MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks

https://github.com/hyleepp/continue-kgc

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Progressive Knowledge Graph Completion

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