Papers with Code 아카이브

Knowledge Graph Completion

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/breckbaldwin/llm-stability

공식 코드

Non-Determinism of "Deterministic" LLM Settings

https://github.com/brotherhappy/ostquant

공식 코드

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

https://github.com/brown-palm/Vamos

공식 코드

Vamos: Versatile Action Models for Video Understanding

https://github.com/brucewang123456789/GeniusTrail

공식 코드

Reducing Reasoning Costs: The Path of Optimization for Chain of Thought via Sparse Attention Mechanism

https://github.com/bryanchrist/mathneuro

공식 코드

Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes

https://github.com/bs-000/bgh-ls-llms-ler

공식 코드

Summarisation of German Judgments in conjunction with a Class-based Evaluation

https://github.com/buaadreamer/easyrag

공식 코드

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

https://github.com/bugmakerzzz/linked_code

공식 코드

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning

https://github.com/bugtig6351/lfqa_evaluation

공식 코드

An Empirical Study of Evaluating Long-form Question Answering

https://github.com/bupt-gamma/graphteam

공식 코드

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration

https://github.com/bupt-gamma/pathrag

공식 코드

PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths

https://github.com/buptwululu/fg-rag

공식 코드

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG

https://github.com/burcgokden/PLDR-LLM-with-KVG-cache

공식 코드

PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference

https://github.com/burcgokden/llm-from-power-law-decoder-representations

공식 코드

PLDR-LLM: Large Language Model from Power Law Decoder Representations

https://github.com/bwz96sco/or_llm_agent

공식 코드

OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problem with Reasoning Large Language Model

https://github.com/bxshi/ConMask

공식 코드

Open-World Knowledge Graph Completion

https://github.com/byronbbl/ck-plug

공식 코드

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

https://github.com/byronbbl/context-dpo

공식 코드

Context-DPO: Aligning Language Models for Context-Faithfulness

https://github.com/bytedance-seed/seed-coder

공식 코드

Seed-Coder: Let the Code Model Curate Data for Itself

https://github.com/bytedance-seed/straggleranalysis

공식 코드

Understanding Stragglers in Large Model Training Using What-if Analysis

https://github.com/bytedance/MoMA

공식 코드

MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation

https://github.com/bytedance/hllm

공식 코드

HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

https://github.com/bytedance/imageref-vl

공식 코드

ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models

https://github.com/bytedance/omniscient-model

공식 코드

Towards Open-Ended Visual Recognition with Large Language Model

https://github.com/bytedance/pargo

공식 코드

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

https://github.com/bytedance/sail

공식 코드

The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

https://github.com/bytedance/salmonn

공식 코드

SALMONN: Towards Generic Hearing Abilities for Large Language Models

https://github.com/bytedance/valley

공식 코드

Valley2: Exploring Multimodal Models with Scalable Vision-Language Design

https://github.com/bytedance/video-salmonn-2

공식 코드

video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language Models

https://github.com/bytetriper/lm4lv

공식 코드

LM4LV: A Frozen Large Language Model for Low-level Vision Tasks

https://github.com/c-box/structeval

공식 코드

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation

https://github.com/cai-lw/KBGAN

공식 코드

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

https://github.com/caicch/colpro

공식 코드

Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting

https://github.com/caixd-220529/LifelongAgentBench

공식 코드

LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

https://github.com/calubkk/raat

공식 코드

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

https://github.com/calvinyeungck/automated_assignment_grading

공식 코드

A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education

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