https://github.com/causalate-mitigates-bias/causal-ate-mitigates-bias
공식 코드Causal ATE Mitigates Unintended Bias in Controlled Text Generation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cbaziotis/seq3
공식 코드https://github.com/cbluebenchmark/cblue
공식 코드CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
https://github.com/ccczhen/dualoie
공식 코드Exploiting Duality in Open Information Extraction with Predicate Prompt
https://github.com/cchen23/generalized_schema_learning
공식 코드Learning to Perform Role-Filler Binding with Schematic Knowledge
https://github.com/cciiplab/dpt
공식 코드Declaration-based Prompt Tuning for Visual Question Answering
https://github.com/cciiplab/stage
공식 코드STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
https://github.com/ccilab-doshisha/sdjc
공식 코드https://github.com/ccks2019-ipre/baseline
공식 코드CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
https://github.com/ccliu2/syn-emb
공식 코드https://github.com/cctien/bimultialign
공식 코드Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
https://github.com/cdmalon/selfconsistent
공식 코드https://github.com/cecilialeiqi/adversarial_text
공식 코드Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
https://github.com/cesc-park/attend2u
공식 코드Attend to You: Personalized Image Captioning with Context Sequence Memory Networks
https://github.com/chakib401/smoothing_sentence_embeddings
공식 코드More Discriminative Sentence Embeddings via Semantic Graph Smoothing
https://github.com/changbingy/auto_glossing_stem_translation
공식 코드Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing
https://github.com/chanind/amr-logic-converter
공식 코드https://github.com/chanind/amr-social-chemistry-reasoner
공식 코드https://github.com/chanind/tensor-theorem-prover
공식 코드https://github.com/chaojiang06/neural-Jacana
공식 코드https://github.com/chaojiang06/wiki-auto
공식 코드Neural CRF Model for Sentence Alignment in Text Simplification
https://github.com/charlottepouw/crosslingual-complexity-transfer
공식 코드https://github.com/chathukiket/evaluation-of-noise-reduction-methods
공식 코드Evaluation of Noise Reduction Methods for Sentence Recognition by Sinhala Speaking Listeners
https://github.com/chemicaltree/tetra
공식 코드Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
https://github.com/chengzhipanpan/paser
공식 코드Sentence Representation Learning with Generative Objective rather than Contrastive Objective
https://github.com/chenhaoxing/MACL_ICML2023
공식 코드Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
https://github.com/chentong0/factoid-wiki
공식 코드Dense X Retrieval: What Retrieval Granularity Should We Use?
https://github.com/chenxinan-fdu/colo
공식 코드COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization
https://github.com/chenyangh/OTTAWA
공식 코드https://github.com/cheoljun95/sdhubert
공식 코드SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT
https://github.com/chihyaoma/cyclical-visual-captioning
공식 코드Learning to Generate Grounded Visual Captions without Localization Supervision
https://github.com/chillingdream/dap
공식 코드Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
https://github.com/chongli17/crosslingualalignment
공식 코드https://github.com/chorlinglau/poetrydiffusion
공식 코드PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
https://github.com/chrisc36/autobias
공식 코드Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
https://github.com/christos42/CLDR_CLNER_models
공식 코드Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.