https://github.com/hitz-zentroa/gollie
공식 코드GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Papers with Code 아카이브
Knowledge Graph Completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hitz-zentroa/whisper-lm
공식 코드Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
https://github.com/hiyouga/llama-factory
공식 코드https://github.com/hkuds/autoagent
공식 코드AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
https://github.com/hkuds/lightrag
공식 코드https://github.com/hkuds/minirag
공식 코드MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation
https://github.com/hkuds/opengraph
공식 코드https://github.com/hkuds/videorag
공식 코드VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
https://github.com/hkunlp/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
https://github.com/hkust-knowcomp/complexhyperbolickge
공식 코드Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
https://github.com/hkust-knowcomp/eventground
공식 코드EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs
https://github.com/hkust-knowcomp/mico
공식 코드MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
https://github.com/hkust-knowcomp/privatengdb
공식 코드https://github.com/hkust-knowcomp/vd-pcr
공식 코드VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
https://github.com/hkust-nlp/pem_composition
공식 코드Composing Parameter-Efficient Modules with Arithmetic Operations
https://github.com/hkust-zhiyao/rtllm
공식 코드RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
https://github.com/hliulab/tcrlm
공식 코드https://github.com/hmchuong/CoLLM
공식 코드https://github.com/hmthanh/GCAT
공식 코드Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
https://github.com/hmuus01/educational_qg
공식 코드Scalable Educational Question Generation with Pre-trained Language Models
https://github.com/hmxiong/3ur-llm
공식 코드3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding
https://github.com/holarissun/Data-Centric-OPE
공식 코드https://github.com/holarissun/rewardmodelingbeyondbradleyterry
공식 코드https://github.com/holistic-ai/THaMES
공식 코드THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models
https://github.com/holmeswww/spring
공식 코드https://github.com/homan-lab/noise-audit-dataset
공식 코드https://github.com/homan-lab/voiced
공식 코드https://github.com/honee-w/u-sam
공식 코드U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding
https://github.com/honggen-zhang/hasa-ckge
공식 코드HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
https://github.com/hongwang600/flair
공식 코드Bot or Human? Detecting ChatGPT Imposters with A Single Question
https://github.com/hongzhiq/finegrainedsuicidedetection
공식 코드SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media Analysis
https://github.com/hoon-ock/catalystaigent
공식 코드https://github.com/hoorangyee/lrage
공식 코드https://github.com/hopkin-ghp/QuatDE
공식 코드QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
https://github.com/hornhehhf/rr
공식 코드Rethinking with Retrieval: Faithful Large Language Model Inference
https://github.com/hou27/recdap-fkgc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.