https://github.com/Exploration-Lab/FineGrained-Emotion-Prediciton-Using-Definitions
공식 코드Fine-Grained Emotion Prediction by Modeling Emotion Definitions
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/FAIRNS/Number_and_syntax_units_in_LSTM_LMs
공식 코드The emergence of number and syntax units in LSTM language models
https://github.com/FKIRSTE/emnlp2024-personalized-meeting-sum
공식 코드https://github.com/FaisalQarah/EgyBERT
공식 코드EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora
https://github.com/FangShancheng/ABINet
공식 코드https://github.com/FarnoushRJ/MambaLRP
공식 코드https://github.com/FeiLiu36/LLM4MOEA
공식 코드Large Language Model for Multi-objective Evolutionary Optimization
https://github.com/Fengxiang23/FGSCM-52
공식 코드Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
https://github.com/Flora-jia-jfr/diagnosing_our_datasets
공식 코드Diagnosing our datasets: How does my language model learn clinical information?
https://github.com/Flossiee/HonestyLLM
공식 코드HonestLLM: Toward an Honest and Helpful Large Language Model
https://github.com/FomalhautB/KM-BART-ACL
공식 코드KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
https://github.com/FoundationVision/Groma
공식 코드Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
https://github.com/FredericGodin/QuasiRNN-DReLU
공식 코드https://github.com/Futrell/rnn_psycholinguistic_subjects
공식 코드RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
https://github.com/GFNOrg/red-teaming
공식 코드Learning diverse attacks on large language models for robust red-teaming and safety tuning
https://github.com/GMago-LeWay/GECFramework
공식 코드Detection-Correction Structure via General Language Model for Grammatical Error Correction
https://github.com/GT-SALT/FormalityStyleTransfer
공식 코드https://github.com/GalNivs/Superscopes
공식 코드Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation
https://github.com/GalaxyGHz/Diploma
공식 코드https://github.com/GanjinZero/BioBART
공식 코드BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
https://github.com/GanjinZero/KeBioLM
공식 코드Improving Biomedical Pretrained Language Models with Knowledge
https://github.com/Georgetown-IR-Lab/epic-neural-ir
공식 코드Expansion via Prediction of Importance with Contextualization
https://github.com/Giruvegan/stoneskipping
공식 코드https://github.com/Glasgow-AI4BioMed/RRG-BioNLP-ACL2024
공식 코드Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation
https://github.com/Gleghorn-Lab/DSM
공식 코드Diffusion Sequence Models for Enhanced Protein Representation and Generation
https://github.com/Godheritage/SCOPE
공식 코드SCOPE: Sign Language Contextual Processing with Embedding from LLMs
https://github.com/Green-Wood/BTTR
공식 코드Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer
https://github.com/GuanghuiFU/counselor_support
공식 코드https://github.com/HC-Guo/Owl
공식 코드https://github.com/HITsz-TMG/ExplainableVisualEntailment
공식 코드https://github.com/HITsz-TMG/SKURG
공식 코드https://github.com/HKU-MedAI/ConcepPath
공식 코드Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
https://github.com/HKUDS/SepLLM
공식 코드SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
https://github.com/HKUST-KnowComp/Constraints-with-Prompting-for-Zero-Shot-EAC
공식 코드Global Constraints with Prompting for Zero-Shot Event Argument Classification
https://github.com/HKUST-KnowComp/MLMET
공식 코드Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
https://github.com/HKUST-KnowComp/PersonaPrompt
공식 코드Persona Knowledge-Aligned Prompt Tuning Method for Online Debate
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.