https://github.com/arezooSarvi/sigir2020-eComWorkshop-LTM-for-product-search
공식 코드A Comparison of Supervised Learning to Match Methods for Product Search
Papers with Code 아카이브
Text Matching
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Matching a target text to a source text based on their meaning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/asappresearch/rationale-alignment
공식 코드Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
https://github.com/autoliuweijie/mpts
공식 코드https://github.com/benchen4395/ei-src4search
공식 코드Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
https://github.com/bmitra-msft/Luandri
공식 코드https://github.com/boo-18/gr-gan
공식 코드https://github.com/casia-iva-lab/filo
공식 코드https://github.com/castorini/dhr
공식 코드A Dense Representation Framework for Lexical and Semantic Matching
https://github.com/cciiplab/dpt
공식 코드Declaration-based Prompt Tuning for Visual Question Answering
https://github.com/clip-oscope/clip-oscope
공식 코드CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
https://github.com/cooelf/AwesomeMRC
공식 코드Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
https://github.com/danaesavi/socialmedia-textimage-classification-auxlosses
공식 코드Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
https://github.com/deeplearnxmu/mm-mkp
공식 코드https://github.com/dopaminelcy/alta
공식 코드Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
https://github.com/eric-ai-lab/comclip
공식 코드ComCLIP: Training-Free Compositional Image and Text Matching
https://github.com/eric-ai-lab/dsd
공식 코드Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners
https://github.com/felixbmuller/llms-memorization-copyright
공식 코드LLMs and Memorization: On Quality and Specificity of Copyright Compliance
https://github.com/fudannlplab/mousi
공식 코드https://github.com/fuzhenxin/Query-Bag-Matching-CIKM
공식 코드Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
https://github.com/gjdnju/MLMN
공식 코드Learning Fine-grained Fact-Article Correspondence in Legal Cases
https://github.com/google-research/google-research/tree/master/smith
공식 코드https://github.com/google-research/scenic/tree/main/scenic/projects/verbs_in_action
공식 코드Verbs in Action: Improving verb understanding in video-language models
https://github.com/hggzjx/sfa
공식 코드Modeling Selective Feature Attention for Representation-based Siamese Text Matching
https://github.com/hitvoice/RE2
공식 코드Simple and Effective Text Matching with Richer Alignment Features
https://github.com/idealwhite/tdanet
공식 코드https://github.com/iigroup/map
공식 코드MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model
https://github.com/interdigitalinc/colde
공식 코드Supervised Contrastive Learning for Interpretable Long-Form Document Matching
https://github.com/ivana-13/guided_masking
공식 코드Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking
https://github.com/jaaack-wang/reda
공식 코드https://github.com/jaeseokbyun/grit-vlp
공식 코드GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training
https://github.com/jeffhernandez1995/GenLlaVA
공식 코드https://github.com/jeryi-sun/law-match-sigir-23
공식 코드Law Article-Enhanced Legal Case Matching: a Causal Learning Approach
https://github.com/jlutangchuan/parts2words
공식 코드https://github.com/jpelhaW/ParaphraseDetection
공식 코드https://github.com/jpwahle/iconf22-paraphrase
공식 코드https://github.com/kuanghuei/SCAN
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.