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Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pfnet-research/contextual_augmentation
공식 코드Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
https://github.com/pgcool/iDocNADE
공식 코드https://github.com/pgcool/iDocNADEe
공식 코드Document Informed Neural Autoregressive Topic Models with Distributional Prior
https://github.com/pgg3/L-AutoDA
공식 코드L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
https://github.com/pharmolix/mutaplm
공식 코드MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
https://github.com/pharmolix/openbiomed
공식 코드BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine
https://github.com/philipchung/llm-periop-prediction
공식 코드Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
https://github.com/photon-git/AlloyGAN
공식 코드Inverse Materials Design by Large Language Model-Assisted Generative Framework
https://github.com/phycholosogy/rag-privacy
공식 코드The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
https://github.com/physicsru/Scaling-Curves-of-CoT-Granularity-for-Language-Model-Generalization
공식 코드Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
https://github.com/picsart-ai-research/openbias
공식 코드OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
https://github.com/pilancilab/Randomized-Geometric-Algebra-Methods-for-Convex-Neural-Networks
공식 코드Randomized Geometric Algebra Methods for Convex Neural Networks
https://github.com/piotrmirowski/DependencyTreeRnn
공식 코드Dependency Recurrent Neural Language Models for Sentence Completion
https://github.com/pipilurj/g-llava
공식 코드G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
https://github.com/pipixin321/holmesvad
공식 코드Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
https://github.com/pixeli99/a-cfg
공식 코드Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
https://github.com/pjlab-adg/gpt4v-ad-exploration
공식 코드On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving
https://github.com/pjlab-songcomposer/songcomposer
공식 코드SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition
https://github.com/pku-ml/longppl
공식 코드What is Wrong with Perplexity for Long-context Language Modeling?
https://github.com/pku-yuangroup/chat-univi
공식 코드https://github.com/pku-yuangroup/chatlaw
공식 코드https://github.com/pku-yuangroup/imgedit
공식 코드https://github.com/pkudigitalhealth/heartlang
공식 코드Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
https://github.com/pkulcwmzx/knowledge-boundary
공식 코드https://github.com/pkunlp-icler/childtuning
공식 코드Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
https://github.com/pkunlp-icler/mic
공식 코드MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
https://github.com/pkunlp-icler/pca-eval
공식 코드https://github.com/plan-lab/mtsbench
공식 코드mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
https://github.com/pleask/itda
공식 코드https://github.com/pln-fing-udelar/payador
공식 코드https://github.com/pmulcaire/rosita
공식 코드Polyglot Contextual Representations Improve Crosslingual Transfer
https://github.com/pnnl/chemreasoner
공식 코드https://github.com/poethan/cushLEPOR
공식 코드https://github.com/pointscoder/gpt-driver
공식 코드https://github.com/poloclub/unitable
공식 코드UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretraining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.