https://github.com/nusnlp/amanda
공식 코드A Question-Focused Multi-Factor Attention Network for Question Answering
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nusnlp/greco
공식 코드System Combination via Quality Estimation for Grammatical Error Correction
https://github.com/nvlabs/palavra
공식 코드"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
https://github.com/nvlabs/pervlbenchmark
공식 코드"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
https://github.com/nweir127/COD3S
공식 코드https://github.com/nxh912/BTRec_RecSys23
공식 코드BTRec: BERT-Based Trajectory Recommendation for Personalized Tours
https://github.com/nyu-dl/dl4mt-simul-trans
공식 코드Learning to Translate in Real-time with Neural Machine Translation
https://github.com/oaishi/3DScene_from_text
공식 코드Static and Animated 3D Scene Generation from Free-form Text Descriptions
https://github.com/ofirpress/PartialShuffle
공식 코드Partially Shuffling the Training Data to Improve Language Models
https://github.com/ogaloglu/pre-training-multilingual-document-encoders
공식 코드https://github.com/ojrlopez27/nl-service-composition
공식 코드NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings
https://github.com/omarmomen14/structformer-babylm
공식 코드https://github.com/omidkashefi/Mizan
공식 코드https://github.com/omron-sinicx/whereistheanswer
공식 코드Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
https://github.com/oneal2000/dragin
공식 코드https://github.com/oniani/covid-19-chatbot
공식 코드A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
https://github.com/oodbag/rise
공식 코드https://github.com/open-compass/anah
공식 코드ANAH: Analytical Annotation of Hallucinations in Large Language Models
https://github.com/open-speech-ekstep/indic-punct
공식 코드https://github.com/openai/gpt-3
공식 코드https://github.com/opencenia/spanish-sentence-evaluation
공식 코드https://github.com/opennlplab/favdbench
공식 코드https://github.com/opensum/bigae
공식 코드https://github.com/oriern/SPARK
공식 코드https://github.com/oriern/clusterprop
공식 코드Proposition-Level Clustering for Multi-Document Summarization
https://github.com/oriern/procluster
공식 코드Proposition-Level Clustering for Multi-Document Summarization
https://github.com/orionw/RedditHumorDetection
공식 코드https://github.com/osekilab/rnng-eyetrack
공식 코드Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
https://github.com/osekilab/rnng-lc
공식 코드Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
https://github.com/osu-starlab/beavertalk
공식 코드BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
https://github.com/oswald1997/glimmer
공식 코드GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization
https://github.com/oxai/intersectional_gpt2
공식 코드https://github.com/oyar99/ir-ag-reg
공식 코드A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts
https://github.com/oysterqaq/umair-fps
공식 코드UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style
https://github.com/ozyyshr/DGM
공식 코드Fact-driven Logical Reasoning for Machine Reading Comprehension
https://github.com/ozyyshr/focalreasoner
공식 코드Fact-driven Logical Reasoning for Machine Reading Comprehension
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.