Papers with Code 아카이브

Large Language Model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

3

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/ZihaoWang/Few-shot-KGC

공식 코드

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

https://github.com/ZihengZZH/industry-eval-EA

공식 코드

An Industry Evaluation of Embedding-based Entity Alignment

https://github.com/ZongqianLi/500xCompressor

공식 코드

500xCompressor: Generalized Prompt Compression for Large Language Models

https://github.com/Ztrimus/job-llm

공식 코드

ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement

https://github.com/Zyphra/TemporalMemoryDataset

공식 코드

Toward Conversational Agents with Context and Time Sensitive Long-term Memory

https://github.com/a-brassard/copa-sse

공식 코드

COPA-SSE: Semi-structured Explanations for Commonsense Reasoning

https://github.com/a-kerim/synthetic-data-usability-2024

공식 코드

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data

https://github.com/aabarr/Synthetic-Neurosurgical-Data

공식 코드

Zero-shot generation of synthetic neurosurgical data with large language models

https://github.com/aabarr/synthetic-datasets

공식 코드

Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation

https://github.com/aadityasingh/tokenizationcounts

공식 코드

Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs

https://github.com/aair-lab/capability-discovery

공식 코드

Discovering User-Interpretable Capabilities of Black-Box Planning Agents

https://github.com/aaronli43/grappi

공식 코드

GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration

https://github.com/aashiqmuhamed/grass

공식 코드

Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients

https://github.com/aatlantise/punc-rest-improves

공식 코드

Punctuation Restoration Improves Structure Understanding Without Supervision

https://github.com/ab-10/Hawk

공식 코드

Identifying and Explaining Discriminative Attributes

https://github.com/abacinlp/investlm

공식 코드

InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning

https://github.com/abc03570128/jailbreaking-attack-against-multimodal-large-language-model

공식 코드

Jailbreaking Attack against Multimodal Large Language Model

https://github.com/abderrahmanskiredj/DarijaBanking

공식 코드

DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers

https://github.com/abdoelsayed2016/grg

공식 코드

Generator-Retriever-Generator Approach for Open-Domain Question Answering

https://github.com/abdur75648/v-zen

공식 코드

V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM

https://github.com/abel2code/the_butterfly_effect_of_prompts

공식 코드

The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance

https://github.com/abhijeet3922/vision-RAG

공식 코드

Developing Visual Augmented Q&A System using Scalable Vision Embedding Retrieval & Late Interaction Re-ranker

https://github.com/abman23/on-device-llm-wifi-roaming

공식 코드

On-Device LLM for Context-Aware Wi-Fi Roaming

https://github.com/aboveparadise/llmcbench

공식 코드

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

https://github.com/achandlr/DEEP

공식 코드

Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors

https://github.com/acharkq/training-free-graph-matching

공식 코드

Training Free Graph Neural Networks for Graph Matching

https://github.com/achouhan93/lexdrafter

공식 코드

LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation

https://github.com/acolas1/EventNarrative

공식 코드

EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation

https://github.com/acolas1/kgsimple

공식 코드

Can Knowledge Graphs Simplify Text?

https://github.com/adaruna3/continual-kge

공식 코드

Continual Learning of Knowledge Graph Embeddings

https://github.com/adelwang/migres

공식 코드

LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

https://github.com/adithya7/hybrid-rag

공식 코드

Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization

https://github.com/adxcreative/LEARN

공식 코드

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application

https://github.com/ag2ai/ag2

공식 코드

Adaptive In-conversation Team Building for Language Model Agents

https://github.com/ag2ai/simpledoc

공식 코드

SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement

https://github.com/aggregate-intellect/xir

공식 코드

Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs

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