Papers with Code 아카이브

Inductive knowledge graph completion

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 3
보존된 평가 기록: 6

코드

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

https://github.com/xinhaomei/wavcaps

공식 코드

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

https://github.com/xinke-wang/modaverse

공식 코드

ModaVerse: Efficiently Transforming Modalities with LLMs

https://github.com/xinyulin-fz/lenie

공식 코드

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs

https://github.com/xinzhel/grammar

공식 코드

GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language Model

https://github.com/xinzhel/llm-agent-survey

공식 코드

A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning

https://github.com/xiongbo010/neste

공식 코드

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

https://github.com/xiongbo010/shrinke

공식 코드

Shrinking Embeddings for Hyper-Relational Knowledge Graphs

https://github.com/xiongsiheng/tilp

공식 코드

TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs

https://github.com/xiye17/textualexplincontext

공식 코드

The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning

https://github.com/xjtuwgt/gnn-magna

공식 코드

Multi-hop Attention Graph Neural Network

https://github.com/xlang-ai/arks

공식 코드

EVOR: Evolving Retrieval for Code Generation

https://github.com/xlang-ai/batch-prompting

공식 코드

Batch Prompting: Efficient Inference with Large Language Model APIs

https://github.com/xllyu-nlp/docia

공식 코드

DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation

https://github.com/xmudm/dqabench

공식 코드

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation

https://github.com/xsc1234/info-rag

공식 코드

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

https://github.com/xsc1234/search-in-the-chain

공식 코드

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks

https://github.com/xu737/PeFAD

공식 코드

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection

https://github.com/xuan-zw/lkpnr

공식 코드

LKPNR: LLM and KG for Personalized News Recommendation Framework

https://github.com/xuanren4470/i-learn-better-if-you-speak-my-language

공식 코드

I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses

https://github.com/xud-yan/Trident

공식 코드

Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning

https://github.com/xueyangfeng/rehac

공식 코드

Large Language Model-based Human-Agent Collaboration for Complex Task Solving

https://github.com/xunguangwang/instructta

공식 코드

InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models

https://github.com/xuzhao0/model-selection-reasoning

공식 코드

Automatic Model Selection with Large Language Models for Reasoning

https://github.com/xwhan/DeepPath

공식 코드

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

https://github.com/xwhan/One-shot-Relational-Learning

공식 코드

One-Shot Relational Learning for Knowledge Graphs

https://github.com/xxrep/golde

공식 코드

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization

https://github.com/xyin-anl/Nodeology

공식 코드

PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents

https://github.com/xypb/cleft

공식 코드

CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-Tuning

https://github.com/xz-liu/grapheval

공식 코드

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs

https://github.com/xzascc/probingreflection

공식 코드

From Emergence to Control: Probing and Modulating Self-Reflection in Language Models

https://github.com/xzy-xzy/CiteCheck

공식 코드

CiteCheck: Towards Accurate Citation Faithfulness Detection

https://github.com/yale-lily/folio

공식 코드

FOLIO: Natural Language Reasoning with First-Order Logic

https://github.com/yale-nlp/mcts-rag

공식 코드

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search

https://github.com/yale-sys/confidential-prompting

공식 코드

Confidential Prompting: Protecting User Prompts from Cloud LLM Providers

https://github.com/yamanalab/gpt-augmented-news-recommendation

공식 코드

News Recommendation with Category Description by a Large Language Model

https://github.com/yandex-research/sparqling-queries

공식 코드

SPARQLing Database Queries from Intermediate Question Decompositions

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.