Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/danny911kr/REALTALK
Evaluating Very Long-Term Conversational Memory of LLM Agents
https://github.com/dao-ailab/flash-attention
Efficient Memory Management for Large Language Model Serving with PagedAttention
https://github.com/data-prep-kit/data-prep-kit
Data-Prep-Kit: getting your data ready for LLM application development
https://github.com/datphamvn/hsevo
https://github.com/davidnvq/lwit-alfred
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
https://github.com/dayeonki/rewrite_mt
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
https://github.com/deep-agent/r1-v
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
https://github.com/deepset-ai/haystack
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/dmis-lab/olaph
Large language model validity via enhanced conformal prediction methods
https://github.com/docarray/docarray
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/dongping-chen/mllm-as-a-judge
https://github.com/drboog/profusion
https://github.com/ed-fish/Geo-Sign
Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
https://github.com/ejunprung/llm-agents
https://github.com/eladlev/autoprompt
https://github.com/epistasislab/aliro
Evaluating recommender systems for AI-driven biomedical informatics
https://github.com/eric-ai-lab/Screen-Point-and-Read
Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
https://github.com/ericborn/binarybot
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
https://github.com/erika-n/GPTzip
LLMZip: Lossless Text Compression using Large Language Models
https://github.com/eth-sri/language-model-arithmetic
Accelerating Large Language Model Decoding with Speculative Sampling
https://github.com/eth-sri/sven
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/explodinggradients/ragas
RAGAS: Automated Evaluation of Retrieval Augmented Generation
https://github.com/f1yfisher/drivedreamer2
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
https://github.com/facebookresearch/ParlAI
https://github.com/facebookresearch/doc-storygen-v2
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
https://github.com/facebookresearch/meta_secalign
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
https://github.com/feifeibear/llmspeculativesampling
Accelerating Large Language Model Decoding with Speculative Sampling
https://github.com/fereshte-khani/coalign
https://github.com/for-ai/language-confusion
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
https://github.com/formulamonks/llm-benchmarker-suite
https://github.com/frederikkemarin/bend
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
https://github.com/fredxlpy/cross_lingual_prompt_tuning
https://github.com/fudandisc/reform-eval
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/funaudiollm/cv3-eval
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
https://github.com/gair-nlp/abel
Solving Quantitative Reasoning Problems with Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.