https://github.com/leeyejin1231/amplehate
공식 코드AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lehduong/NPTM
공식 코드Network Pruning That Matters: A Case Study on Retraining Variants
https://github.com/leileigan/clean_label_textual_backdoor_attack
공식 코드https://github.com/lemonqc/kg2text
공식 코드Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
https://github.com/lemonsis/ctrlstruct
공식 코드CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation
https://github.com/lena-voita/good-translation-wrong-in-context
공식 코드https://github.com/leonnnop/var
공식 코드https://github.com/leonweber/nlprolog
공식 코드NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
https://github.com/lexrosetta/caselaw_functional_segmentation_multilingual
공식 코드Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains
https://github.com/lgalke/cross-architecture-distillation
공식 코드General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings
https://github.com/lgzlilili/boosting-wtal
공식 코드Boosting Weakly-Supervised Temporal Action Localization with Text Information
https://github.com/lhf-labs/finance-news-analysis-bert
공식 코드https://github.com/lhryang/crl_egpg
공식 코드Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation
https://github.com/lhryang/emphasis-selection
공식 코드Sentence Structure and Word Relationship Modeling for Emphasis Selection
https://github.com/li-wanhua/label2label
공식 코드Label2Label: A Language Modeling Framework for Multi-Attribute Learning
https://github.com/li-xirong/sea
공식 코드SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
https://github.com/liamcripwell/plan_simp
공식 코드https://github.com/liamcripwell/sle
공식 코드Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification
https://github.com/liamdugan/human-detection
공식 코드https://github.com/libeineu/Context-Aware
공식 코드Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
https://github.com/libertfan/tags
공식 코드Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
https://github.com/lightblues/agentre
공식 코드https://github.com/lightchen233/gl-clef
공식 코드https://github.com/lihaoxin2020/narrowbert
공식 코드NarrowBERT: Accelerating Masked Language Model Pretraining and Inference
https://github.com/lijiabei-7/rivrl
공식 코드Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
https://github.com/lijiaxiuHFUT/DPTMO
공식 코드Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
https://github.com/lijiefan/laclip
공식 코드https://github.com/lijuncen/Sentiment-and-Style-Transfer
공식 코드Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
https://github.com/lil-lab/nlvr
공식 코드https://github.com/limaoum/fastlexrank
공식 코드FastLexRank: Efficient Lexical Ranking for Structuring Social Media Posts
https://github.com/lina-luck/semantic_concept_embeddings
공식 코드Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
https://github.com/linear95/rlm
공식 코드https://github.com/lingchensanwen/dcqa-qud-parsing
공식 코드https://github.com/lingchensanwen/qudeval
공식 코드QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing
https://github.com/linghao-jin/canmt-challenges
공식 코드https://github.com/lingjzhu/spoken_sent_embedding
공식 코드Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.