Papers with Code 아카이브

Large Language Model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/gkw0010/endochat

공식 코드

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery

https://github.com/glowworm-cell/lict

공식 코드

Objectively Evaluating the Reliability of Cell Type Annotation Using LLM-Based Strategies

https://github.com/gls0425/linvt

공식 코드

LinVT: Empower Your Image-level Large Language Model to Understand Videos

https://github.com/gmaher/llmpc

공식 코드

LLMPC: Large Language Model Predictive Control

https://github.com/goliaro/specinfer-ae

공식 코드

SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

https://github.com/gomate-community/trustrag

공식 코드

TrustRAG: An Information Assistant with Retrieval Augmented Generation

https://github.com/google-deepmind/loft

공식 코드

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

https://github.com/google-research-datasets/rag_conflicts

공식 코드

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs

https://github.com/google-research-datasets/swim-ir

공식 코드

Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval

https://github.com/google-research/google-research

공식 코드

Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models

https://github.com/google-research/google-research/tree/master/table_rag

공식 코드

TableRAG: Million-Token Table Understanding with Language Models

https://github.com/govtech-responsibleai/knowornot

공식 코드

Know Or Not: a library for evaluating out-of-knowledge base robustness

https://github.com/gowitheflow-1998/rar-b

공식 코드

RAR-b: Reasoning as Retrieval Benchmark

https://github.com/gpt-laboratory/rag-llm-development-guidebook-from-pdfs

공식 코드

Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report

https://github.com/gpt4vision/gpt4sgg-llm

공식 코드

GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

https://github.com/gradiustwinbee/glis

공식 코드

Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection

https://github.com/graph-and-geometric-learning/hypercore

공식 코드

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules

https://github.com/graph-com/subgraphrag

공식 코드

Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

https://github.com/graphcore-research/llm-inference-research

공식 코드

SparQ Attention: Bandwidth-Efficient LLM Inference

https://github.com/graphpku/coi

공식 코드

Chain of Images for Intuitively Reasoning

https://github.com/graphrag-bench/graphrag-benchmark

공식 코드

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation

https://github.com/graphresearcher/autodata

공식 코드

AutoData: A Multi-Agent System for Open Web Data Collection

https://github.com/gregorycoppola/bayes-star

공식 코드

The Quantified Boolean Bayesian Network: Theory and Experiments with a Logical Graphical Model

https://github.com/gtfintechlab/aclready

공식 코드

ACL Ready: RAG Based Assistant for the ACL Checklist

https://github.com/guangyaodou/SSU_Unlearn

공식 코드

Avoiding Copyright Infringement via Large Language Model Unlearning

https://github.com/guanlinlee/art

공식 코드

ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users

https://github.com/guinan-su/auto-merge-llm

공식 코드

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching

https://github.com/guopeiming/E2E_PSDG

공식 코드

An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation

https://github.com/guybenyosef/echonarrator

공식 코드

EchoNarrator: Generating natural text explanations for ejection fraction predictions

https://github.com/gxnu-zhonglab/dutrack

공식 코드

Dynamic Updates for Language Adaptation in Visual-Language Tracking

https://github.com/gxym/vcapsbench

공식 코드

VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation

https://github.com/h-tayyarmadabushi/a-frame-semantics-based-approach-for-improved-factual-accuracy-in-large-language-models

공식 코드

FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models

https://github.com/h-zhao1997/cobra

공식 코드

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

https://github.com/hahahenha/poi-qa

공식 코드

A Dataset for Spatiotemporal-Sensitive POI Question Answering

https://github.com/hahnyuan/llm-viewer

공식 코드

LLM Inference Unveiled: Survey and Roofline Model Insights

https://github.com/haiduo/Jakiro

공식 코드

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE

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