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/0217ljh/QA_System_For_Spectral_Analysis_With_SDAAP_Dataset

공식 코드

A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLM

https://github.com/0frett/po-uncertainty-benchmarking

공식 코드

Benchmarking Large Language Model Uncertainty for Prompt Optimization

https://github.com/0nutation/speechagents

공식 코드

SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems

https://github.com/0nutation/speechgpt

공식 코드

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

https://github.com/12tqian/layered-unlearning

공식 코드

Layered Unlearning for Adversarial Relearning

https://github.com/2279072142/mindscope

공식 코드

MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems

https://github.com/2471023025/ralm_survey

공식 코드

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

https://github.com/2sigmaedtech/llmasajudge

공식 코드

LLM-as-a-Fuzzy-Judge: Fine-Tuning Large Language Models as a Clinical Evaluation Judge with Fuzzy Logic

https://github.com/360cvgroup/inner-adaptor-architecture

공식 코드

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities

https://github.com/4ai/bellm

공식 코드

BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings

https://github.com/8023looker/med-rr

공식 코드

Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine

https://github.com/8188zq/Inference-Time-Decontamination

공식 코드

Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation

https://github.com/AFeng-x/Draw-and-Understand

공식 코드

Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want

https://github.com/AI4Chem/ChemVlm

공식 코드

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

https://github.com/AKC23/Harnessing-LLMs-over-transformer-models-for-detecting-Bengali-depressive-text-A-comprehensive-study

공식 코드

Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study

https://github.com/ALEX-nlp/MUI-Eval

공식 코드

Model Utility Law: Evaluating LLMs beyond Performance through Mechanism Interpretable Metric

https://github.com/ASISys/Adrenaline

공식 코드

Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation

https://github.com/AZYoung233/MSE-Adapter

공식 코드

MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition

https://github.com/Aatrox103/CrAM

공식 코드

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

https://github.com/AgnostiqHQ/multi-agent-llm

공식 코드

Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning

https://github.com/Ahalikai/ARS-Routbench

공식 코드

ARS: Automatic Routing Solver with Large Language Models

https://github.com/AhmedIzzidien/TopicLLM

공식 코드

Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment

https://github.com/AkariAsai/self-rag

공식 코드

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

https://github.com/AlaaLab/InstructCV

공식 코드

InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists

https://github.com/Alab-NII/2wikimultihop

공식 코드

End-to-End Beam Retrieval for Multi-Hop Question Answering

https://github.com/AlfredClemedtson/graphraft

공식 코드

GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases

https://github.com/Ali-Forootani/multi_llm

공식 코드

Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education

https://github.com/Alibaba-NLP/CoFE-RAG

공식 코드

CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity

https://github.com/Alibaba-NLP/EcomGPT

공식 코드

EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce

https://github.com/Alibaba-NLP/ViDoRAG

공식 코드

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

https://github.com/Alidar40/lez-rus-azj-translator

공식 코드

Neural machine translation system for Lezgian, Russian and Azerbaijani languages

https://github.com/Alvin-Zeng/Video2Reward

공식 코드

Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning

https://github.com/AmeyHengle/multilingual-long-context-reasoning

공식 코드

Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks

https://github.com/Anni-Zou/DocBench

공식 코드

DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

https://github.com/Anonymous-Be3fb6/MOPI-HFRS

공식 코드

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

https://github.com/Applied-Machine-Learning-Lab/Awesome-Personalized-RAG-Agent

공식 코드

A Survey of Personalization: From RAG to Agent

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