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/akshaygopalkr/em-vlm4ad

공식 코드

Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

https://github.com/aksw/ai-tomorrow-2023-kg-chatgpt-experiments

공식 코드

LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT

https://github.com/aksw/llm-kg-bench

공식 코드

Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

https://github.com/aksw/llm-kg-bench-results

공식 코드

Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

https://github.com/aksw/lms4text2sparql

공식 코드

Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

https://github.com/akumar2709/overthink_public

공식 코드

OverThink: Slowdown Attacks on Reasoning LLMs

https://github.com/alan-turing-institute/prompto

공식 코드

Prompto: An open source library for asynchronous querying of LLM endpoints

https://github.com/alanlusun/openkd

공식 코드

OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection

https://github.com/alannawzadamin/clonebo

공식 코드

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences

https://github.com/albertkx/conal

공식 코드

Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models

https://github.com/alcein/taira

공식 코드

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent

https://github.com/alebondarenko/llm-robustness

공식 코드

LLM Robustness Against Misinformation in Biomedical Question Answering

https://github.com/alejgh/wikidata-edithist-refinement

공식 코드

Leveraging Wikidata's edit history in knowledge graph refinement tasks

https://github.com/aleksvap/expressive

공식 코드

ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion

https://github.com/alex-glynn/academ-ai-analysis

공식 코드

Suspected Undeclared Use of Artificial Intelligence in the Academic Literature: An Analysis of the Academ-AI Dataset

https://github.com/alex-haochenli/goal-oriented-prompt-engineering

공식 코드

Towards Goal-oriented Prompt Engineering for Large Language Models: A Survey

https://github.com/alex-haochenli/reco

공식 코드

Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search

https://github.com/alexanderimanicowenrivers/Neural-Variational-Knowledge-Graphs

공식 코드

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings

https://github.com/alexanderkoebler/MoRE-LLM

공식 코드

MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model

https://github.com/alexheyman/rllmgraphcoloring

공식 코드

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features

https://github.com/alexmartin1722/wikivideo

공식 코드

WikiVideo: Article Generation from Multiple Videos

https://github.com/alexmotogna/generatorapi

공식 코드

Interleaving GANs with knowledge graphs to support design creativity for book covers

https://github.com/alexwan0/rag-convincingness

공식 코드

What Evidence Do Language Models Find Convincing?

https://github.com/ali-bahrainian/rag_best_practices

공식 코드

Enhancing Retrieval-Augmented Generation: A Study of Best Practices

https://github.com/ali-stanford/chatgpt_programming_numerical_methods

공식 코드

ChatGPT for Programming Numerical Methods

https://github.com/ali-vilab/idea-bench

공식 코드

IDEA-Bench: How Far are Generative Models from Professional Designing?

https://github.com/aliayub7/cbcl-pr

공식 코드

CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics

https://github.com/alibaba-nlp/seqgpt

공식 코드

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

https://github.com/alibaba-nlp/vrag

공식 코드

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

https://github.com/alibaba-nlp/webwalker

공식 코드

WebWalker: Benchmarking LLMs in Web Traversal

https://github.com/alibaba/AliceMind

공식 코드

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

https://github.com/alibaba/EasyNLP

공식 코드

DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding

https://github.com/alibaba/cloudeval-yaml

공식 코드

CloudEval-YAML: A Practical Benchmark for Cloud Configuration Generation

https://github.com/alibaba/federatedscope

공식 코드

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

https://github.com/alibaba/graphtranslator

공식 코드

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks

https://github.com/alibabaresearch/advancedliteratemachinery

공식 코드

Visual Text Generation in the Wild

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