https://github.com/climatebert/language-model
공식 코드ClimateBert: A Pretrained Language Model for Climate-Related Text
Papers with Code 아카이브
Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/clin0212/hydralora
공식 코드AsymLoRA: Harmonizing Data Conflicts and Commonalities in MLLMs
https://github.com/clinicalml/TabLLM
공식 코드TabLLM: Few-shot Classification of Tabular Data with Large Language Models
https://github.com/clinicalml/onboarding_human_ai
공식 코드Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
https://github.com/clovaai/bros
공식 코드https://github.com/clovaai/subword-qac
공식 코드https://github.com/clovaai/tvq-vae
공식 코드Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
https://github.com/clp-research/language-models-multimodal-tasks
공식 코드https://github.com/cltl/unkown_script
공식 코드https://github.com/cmavro/gnn-rag
공식 코드GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
https://github.com/cmbagents/cmbagent
공식 코드Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
https://github.com/cmdowney88/SegmentalLMs
공식 코드A Masked Segmental Language Model for Unsupervised Natural Language Segmentation
https://github.com/cmdowney88/xlslm
공식 코드Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages
https://github.com/cmnfriend/o-lora
공식 코드Orthogonal Subspace Learning for Language Model Continual Learning
https://github.com/cmu-llab/phonotactic-complexity-across-dialects
공식 코드https://github.com/cmubig/ccub
공식 코드https://github.com/coastalcph/lexlms
공식 코드LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development
https://github.com/code4paper-2024/code4paper
공식 코드Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
https://github.com/codebyzeb/g2p-plus
공식 코드https://github.com/codecaution/evomoe
공식 코드EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
https://github.com/codefuse-ai/awesome-code-llm
공식 코드Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
https://github.com/codehan/aqf-rq
공식 코드https://github.com/codemonsterphd/pneumollm
공식 코드PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis
https://github.com/coderalo/11785-automatic-poetry-generation
공식 코드https://github.com/coderj-one/giraffe-bench
공식 코드Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models
https://github.com/codezakh/exploiting-BERT-thru-translation
공식 코드Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation
https://github.com/codezakh/lilt
공식 코드Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
https://github.com/codezakh/seltda
공식 코드https://github.com/codinnlg/detox-cot
공식 코드CMD: a framework for Context-aware Model self-Detoxification
https://github.com/cofe-ai/msg
공식 코드Masked Structural Growth for 2x Faster Language Model Pre-training
https://github.com/cofe-ai/oifc
공식 코드Open-domain Implicit Format Control for Large Language Model Generation
https://github.com/cognitiveailab/darmok
공식 코드https://github.com/cohere-ai/magikarp
공식 코드Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
https://github.com/coldmist-lu/agentexit
공식 코드https://github.com/colegroup/w2cspace
공식 코드https://github.com/collinzrj/output2prompt
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.