Papers with Code 아카이브

Large Language Model

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

https://github.com/modeltc/lightllm

FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Serving

https://github.com/muennighoff/sgpt

Generative Representational Instruction Tuning

https://github.com/mzhaoshuai/slimclr

Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training

https://github.com/narabzad/llm-relevance-judgement-comparison

Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework

https://github.com/naver-ai/jood

Jailbreaking Attack against Multimodal Large Language Model

https://github.com/nguyentthong/temporal_recipe

Temporal-Oriented Recipe for Transferring Large Vision-Language Model to Video Understanding

https://github.com/nickm980/smallville

Generative Agents: Interactive Simulacra of Human Behavior

https://github.com/nico-koltermann/contextual-evolution-of-heuristics

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

https://github.com/nineabyss/zerog

A Survey of Graph Meets Large Language Model: Progress and Future Directions

https://github.com/niyunsheng/ems-sd

Inference with Reference: Lossless Acceleration of Large Language Models

https://github.com/njunlp/mcsd

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

https://github.com/njunlp/mmt-llm

OpenICL: An Open-Source Framework for In-context Learning

https://github.com/nlpodyssey/rwkv.f90

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/nonslowrunner/Visualdialogs

Visual Dialog

https://github.com/nus-hpc-ai-lab/opendit

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

https://github.com/ojiyumm/mt_bench_rwkv

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

https://github.com/onlplab/rvs

Into the Unknown: Generating Geospatial Descriptions for New Environments

https://github.com/oootttyyy/webarena

Hierarchical Prompting Assists Large Language Model on Web Navigation

https://github.com/open-dataflow/rare

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts

https://github.com/open-finance-lab/finlora

BloombergGPT: A Large Language Model for Finance

https://github.com/open-thoughts/open-thoughts

LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

https://github.com/openbmb/minicpm-v

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

https://github.com/opengvlab/internvl-mmdetseg

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

https://github.com/opengvlab/multi-modality-arena

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

https://github.com/openlmlab/moss

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

https://github.com/openmoss/moss

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

https://github.com/opennlplab/lightning-attention

TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer

https://github.com/openrobotlab/pointllm

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

https://github.com/optml-group/unlearn-smooth

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning

https://github.com/owennju/mmt-llm

OpenICL: An Open-Source Framework for In-context Learning

https://github.com/patrickpynadath1/automatic_cyclical_sampling

Controlled LLM Decoding via Discrete Auto-regressive Biasing

https://github.com/peizeli96/MHys

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering

https://github.com/pengfeiliheu/m2i2

PathVQA: 30000+ Questions for Medical Visual Question Answering

https://github.com/pengfeiliheu/mumc

PathVQA: 30000+ Questions for Medical Visual Question Answering

https://github.com/phbst/tinyrag

Retrieval-Augmented Generation for Large Language Models: A Survey

https://github.com/phellonchen/x-llm

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

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