https://github.com/runxinxu/childtuning
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
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/sail-sg/adan
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
https://github.com/sandai-org/magiattention
https://github.com/sevvalckc/Turkish-SAD
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
https://github.com/shansongliu/M2UGen
Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
https://github.com/shansongliu/MU-LLaMA
Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
https://github.com/sheldonresearch/ProG
A Survey of Graph Meets Large Language Model: Progress and Future Directions
https://github.com/shihaozhaozsh/lavi-bridge
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
https://github.com/showlab/WorldGUI
ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation
https://github.com/shreya1313/llm-unlearning
https://github.com/sierra-research/tau-bench
$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
https://github.com/skyworkai/skywork
https://github.com/sl-93/SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
https://github.com/spcl/knowledge-graph-of-thoughts
https://github.com/squeezeailab/kvquant
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
https://github.com/stanford-oval/storm
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
https://github.com/stzhang-patrick/arcmmlu
ArcGPT: A Large Language Model Tailored for Real-world Archival Applications
https://github.com/suklav/Artificial-Intelligence/blob/main/Nqueens_DFS.cpp
https://github.com/sunnweiwei/co-bench
A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization
https://github.com/sunsmarterjie/chatterbox
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
https://github.com/taesunwhang/MVAN-VisDial
https://github.com/tanny411/llm-reliability-and-consistency-evaluation
TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability
https://github.com/tencentqqgylab/ella
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
https://github.com/teticio/llama-squad
https://github.com/theoremone/llm-benchmarker-suite
https://github.com/thu-esis/jiuzhou
TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks
https://github.com/thu-keg/korc
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/thudm/alignbench
https://github.com/thudm/chatglm-6b
https://github.com/tianyic/only_train_once
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
https://github.com/timonziegenbein/inappropriateness-mitigation
https://github.com/togethercomputer/moa
Mixture-of-Agents Enhances Large Language Model Capabilities
https://github.com/tpoisonooo/huixiangdou2
https://github.com/traffic-alpha/tsc-harla
https://github.com/typefly/TypeFly
https://github.com/unicamp-dl/retailGPT
Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.