https://github.com/xingwei-warwick/callmsae
공식 코드Cascading Large Language Models for Salient Event Graph Generation
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/xingyaoww/code-act
공식 코드https://github.com/xingyaoww/code4struct
공식 코드Code4Struct: Code Generation for Few-Shot Event Structure Prediction
https://github.com/xinhaomei/wavcaps
공식 코드https://github.com/xinke-wang/modaverse
공식 코드https://github.com/xinzhel/grammar
공식 코드https://github.com/xinzhel/llm-agent-survey
공식 코드https://github.com/xiye17/textualexplincontext
공식 코드The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
https://github.com/xjtuwgt/gnn-magna
공식 코드https://github.com/xlang-ai/arks
공식 코드https://github.com/xlang-ai/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
https://github.com/xllyu-nlp/docia
공식 코드DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
https://github.com/xmudm/dqabench
공식 코드Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation
https://github.com/xsc1234/info-rag
공식 코드https://github.com/xsc1234/search-in-the-chain
공식 코드https://github.com/xu737/PeFAD
공식 코드PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
https://github.com/xuanren4470/i-learn-better-if-you-speak-my-language
공식 코드https://github.com/xud-yan/Trident
공식 코드Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
https://github.com/xueyangfeng/rehac
공식 코드Large Language Model-based Human-Agent Collaboration for Complex Task Solving
https://github.com/xunguangwang/instructta
공식 코드InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
https://github.com/xuzhao0/model-selection-reasoning
공식 코드Automatic Model Selection with Large Language Models for Reasoning
https://github.com/xwhan/DeepPath
공식 코드DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/xwhan/One-shot-Relational-Learning
공식 코드https://github.com/xyin-anl/Nodeology
공식 코드https://github.com/xypb/cleft
공식 코드https://github.com/xzascc/probingreflection
공식 코드From Emergence to Control: Probing and Modulating Self-Reflection in Language Models
https://github.com/xzy-xzy/CiteCheck
공식 코드https://github.com/yale-lily/folio
공식 코드https://github.com/yale-nlp/mcts-rag
공식 코드MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
https://github.com/yale-sys/confidential-prompting
공식 코드Confidential Prompting: Protecting User Prompts from Cloud LLM Providers
https://github.com/yamanalab/gpt-augmented-news-recommendation
공식 코드News Recommendation with Category Description by a Large Language Model
https://github.com/yangcong356/bita
공식 코드Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning
https://github.com/yangcong356/kcfi
공식 코드Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning
https://github.com/yangheng95/instoptima
공식 코드https://github.com/yangling0818/rpg-diffusionmaster
공식 코드Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
https://github.com/yangyi-chen/prior
공식 코드Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.