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Large Language Model

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

https://github.com/YuanJianhao508/RAG-Driver

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model

https://github.com/Zefty/rag-end2end-retriever

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/ZhangYiqun018/StickerConv

Generative Agents: Interactive Simulacra of Human Behavior

https://github.com/Ziyang412/VideoTree

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

https://github.com/a16z-infra/ai-town

Generative Agents: Interactive Simulacra of Human Behavior

https://github.com/adlik/vllm

Efficient Memory Management for Large Language Model Serving with PagedAttention

https://github.com/agentcoord/agentcoord

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

https://github.com/agentica-project/verl-pipeline

HybridFlow: A Flexible and Efficient RLHF Framework

https://github.com/agiresearch/litecua

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem

https://github.com/ai4co/llm-as-hh

Algorithm Evolution Using Large Language Model

https://github.com/ai4co/reevo

Algorithm Evolution Using Large Language Model

https://github.com/aioz-ai/MICCAI21_MMQ

PathVQA: 30000+ Questions for Medical Visual Question Answering

https://github.com/alextakele/python-random-quote

RAGAS: Automated Evaluation of Retrieval Augmented Generation

https://github.com/ali7naseh/RAG_MIA

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

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

WebWalker: Benchmarking LLMs in Web Traversal

https://github.com/alibaba/rtp-llm

Large Language Model based Long-tail Query Rewriting in Taobao Search

https://github.com/alpha-innovator/chartvlm

StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding

https://github.com/amazon-science/SDFeedback

Teaching Large Language Models to Self-Debug

https://github.com/amazon-science/self_debug

Teaching Large Language Models to Self-Debug

https://github.com/anandaswarup/phrase_break_prediction

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

https://github.com/andypinxinliu/GestureLSM

Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis

https://github.com/ant-research/structuredlm_rtdt

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

https://github.com/apoorvumang/prompt-lookup-decoding

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/appsec2008/acnbp

Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability

https://github.com/artessay/ragraph

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems

https://github.com/aryaze/testpilot

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

https://github.com/asannasi/txt_adv_nlp

Text-based Adventures of the Golovin AI Agent

https://github.com/assafelovic/gpt-researcher

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/aubrey-ao/humanbehavioranimation

Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis

https://github.com/axiomlab/Cable

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

https://github.com/baai-dcai/segvol

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

https://github.com/baaivision/judgelm

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

https://github.com/baaivision/muse-pytorch

Muse: Text-To-Image Generation via Masked Generative Transformers

https://github.com/bangoc123/drop-rag

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/bangoc123/retrieval-backend-with-rag

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/batmanlab/Ladder

LADDER: Language Driven Slice Discovery and Error Rectification

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