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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/jaysaligia/ppt
공식 코드Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
https://github.com/jbrry/Irish-BERT
공식 코드https://github.com/jbuckman/neural-lattice-language-models
공식 코드https://github.com/jcblaisecruz02/Tagalog-fake-news
공식 코드Localization of Fake News Detection via Multitask Transfer Learning
https://github.com/jcjohnson/densecap
공식 코드DenseCap: Fully Convolutional Localization Networks for Dense Captioning
https://github.com/jcroh0508/msdt
공식 코드https://github.com/jcyk/AMR-gs
공식 코드https://github.com/jd445/TrainAnuualBERT
공식 코드Towards understanding evolution of science through language model series
https://github.com/jdh-algo/Citrus
공식 코드https://github.com/jdrechsel13/sympy-random-latex
공식 코드https://github.com/jeevesh8/arg_mining
공식 코드Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?
https://github.com/jeffhernandez1995/GenLlaVA
공식 코드https://github.com/jeffhj/raven
공식 코드RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
https://github.com/jefflai108/Semi-Supervsied-Spoken-Language-Understanding-PyTorch
공식 코드https://github.com/jemoka/dropfree
공식 코드https://github.com/jensjorisdecorte/jobbert-evaluation-dataset
공식 코드https://github.com/jeohalves/longkey
공식 코드https://github.com/jeppe742/language_of_molecules
공식 코드Autoencoding Undirected Molecular Graphs With Neural Networks
https://github.com/jerbarnes/hier_vs_transfer
공식 코드A Systematic Comparison of Architectures for Document-Level Sentiment Classification
https://github.com/jeremyalain/imitation_learning_from_language_feedback
공식 코드https://github.com/jeremyleiliu/xlingudial
공식 코드https://github.com/jermp/tongrams
공식 코드https://github.com/jesse-michael-han/lean-step-public
공식 코드Proof Artifact Co-training for Theorem Proving with Language Models
https://github.com/jeticg/Code013-CL-LexPG
공식 코드Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
https://github.com/jeykigung/P5
공식 코드https://github.com/jfchi/plue
공식 코드PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English
https://github.com/jgu13/hir-hybrid-importance-resampling-for-language-models
공식 코드Investigating the Impact of Data Selection Strategies on Language Model Performance
https://github.com/jhlau/deepspeare
공식 코드Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme
https://github.com/jhlau/topically-driven-language-model
공식 코드https://github.com/jhliu0807/agentcf-plus
공식 코드AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
https://github.com/jiacheng-xu/sum-interpret
공식 코드Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
https://github.com/jiacheng-xu/vmf_vae_nlp
공식 코드https://github.com/jiahuigeng/vscbench
공식 코드VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
https://github.com/jiajunyu1999/LLM4Drug
공식 코드Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
https://github.com/jiangbo-shi/vila-mil
공식 코드ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.