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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/intelligent-internet/ii_verl
https://github.com/intelligent-machine-learning/glake
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management
https://github.com/jackaduma/Recurrent-LLM
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text
https://github.com/jackal-u/CSGOAPI
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
https://github.com/jacksonwuxs/usablexai_llm
Studying Large Language Model Generalization with Influence Functions
https://github.com/jhcircle/less-is-more
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
https://github.com/jimmylihui/OpenGenome
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
https://github.com/jimmylihui/genbench
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
https://github.com/jina-ai/thinkgpt
https://github.com/joe-prog/https-github.com-facebookresearch-ParlAI
https://github.com/joez17/chatbridge
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
https://github.com/jonjoncardoso/jonjoncardoso
Very Large Language Model as a Unified Methodology of Text Mining
https://github.com/jquesnelle/scaled-rope
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
https://github.com/jquesnelle/yarn
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
https://github.com/jzhang38/EasyContext
https://github.com/kaistai/semiparametric_token-sequence_co-supervision
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
https://github.com/kakaobrain/honeybee
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/kamanphoebe/look-into-moes
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
https://github.com/kdexd/lang-emerge-parlai
https://github.com/kevin666aa/flaml
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference
https://github.com/kevinwu23/SourceCheckup
How well do LLMs cite relevant medical references? An evaluation framework and analyses
https://github.com/keyhsw/chemllm
https://github.com/khalil-research/1d-arc
https://github.com/kinit-sk/l3d-sensitivity-investigation
https://github.com/knotgrass/attention/blob/main/attn/attention.py
https://github.com/knowlab/bi-weekly-paper-presentation
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
https://github.com/kuk/rulm-sbs2
https://github.com/kyegomez/PALM-E
https://github.com/kyutai-labs/hibiki
Moshi: a speech-text foundation model for real-time dialogue
https://github.com/kyutai-labs/moshivis
Moshi: a speech-text foundation model for real-time dialogue
https://github.com/labbeti/aac-datasets
https://github.com/lamm-mit/pdf2audio
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
https://github.com/lastmile-ai/aiconfig
YUAN 2.0: A Large Language Model with Localized Filtering-based Attention
https://github.com/layumi/University1652-Baseline
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
https://github.com/lennijusten/biology-benchmarks
Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.