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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/seznam/czech-semantic-embedding-models
공식 코드Some Like It Small: Czech Semantic Embedding Models for Industry Applications
https://github.com/sgarg87/big_mech_isi_gg
공식 코드Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
https://github.com/sgoel97/neurips-embedding-positional-bias
공식 코드https://github.com/sh0416/clrcmd
공식 코드https://github.com/shachardon/prequel
공식 코드PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
https://github.com/shahriargolchin/dcq
공식 코드Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models
https://github.com/shannonai/mrc-srl
공식 코드https://github.com/shaoqlin/discosg
공식 코드DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
https://github.com/sharan21/epaae
공식 코드https://github.com/share424/indonesian-text-to-image-synthesis-with-sentence-bert-and-fastgan
공식 코드Indonesian Text-to-Image Synthesis with Sentence-BERT and FastGAN
https://github.com/shareefbabu/covid_data_telephone_band
공식 코드COVID-19 Patient Detection from Telephone Quality Speech Data
https://github.com/sharif-slpl/sharif-str
공식 코드https://github.com/sharpsy/slovene-ot-semchange
공식 코드https://github.com/shashiongithub/Refresh
공식 코드Ranking Sentences for Extractive Summarization with Reinforcement Learning
https://github.com/shashiongithub/Split-and-Rephrase
공식 코드https://github.com/shashiongithub/XSum
공식 코드https://github.com/shauli-ravfogel/lm-counterfactuals
공식 코드https://github.com/shawnkx/SCDE
공식 코드SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
https://github.com/sheffieldnlp/cwi
공식 코드Strong Baselines for Complex Word Identification across Multiple Languages
https://github.com/sheffieldnlp/fever-baselines
공식 코드FEVER: a large-scale dataset for Fact Extraction and VERification
https://github.com/sheffieldnlp/mlqe-pe
공식 코드MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
https://github.com/shen-chenhui/sentbs
공식 코드SentBS: Sentence-level Beam Search for Controllable Summarization
https://github.com/sheng-z/figet
공식 코드https://github.com/shentianxiao/text-autoencoders
공식 코드Educating Text Autoencoders: Latent Representation Guidance via Denoising
https://github.com/shenwzh3/RGAT-ABSA
공식 코드Relational Graph Attention Network for Aspect-based Sentiment Analysis
https://github.com/shenyunhang/ape
공식 코드Aligning and Prompting Everything All at Once for Universal Visual Perception
https://github.com/sherlock-jerry/ssa-semeval
공식 코드ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach
https://github.com/shervinmin/DeepCovid
공식 코드Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
https://github.com/shh1574/multi-modal-dialogue-dataset
공식 코드Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images
https://github.com/shichaosun/ss4sum
공식 코드Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
https://github.com/shijx12/AR-Tree
공식 코드https://github.com/shininglab/cat
공식 코드Counterfactual Adversarial Learning with Representation Interpolation
https://github.com/shivaomrani/llm-bias
공식 코드Evaluating Biased Attitude Associations of Language Models in an Intersectional Context
https://github.com/shizhediao/r-tuning
공식 코드R-Tuning: Instructing Large Language Models to Say `I Don't Know'
https://github.com/shobrook/communities
공식 코드SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.