Sentence Pair Modeling
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Comparing two sentences and their relationship based on their internal representation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dipamgoswami/fscil-calibration
공식 코드https://github.com/dipta007/semeval24-task8
공식 코드https://github.com/divettemarco/pragsim
공식 코드A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances
https://github.com/dll-wu/is-cse
공식 코드Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
https://github.com/doribear/A-Novel-Patent-Similarity-Measurement-Methodology
공식 코드A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance
https://github.com/dsfsi/embedding-eval-data
공식 코드https://github.com/dukesun99/ACL-PRISM
공식 코드https://github.com/dvlab-research/rival
공식 코드Real-World Image Variation by Aligning Diffusion Inversion Chain
https://github.com/e-qin/gear
공식 코드https://github.com/echopluto/fhda
공식 코드https://github.com/elakhatibi/cdf-rag
공식 코드CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
https://github.com/eleutherai/sae-auto-interp
공식 코드Automatically Interpreting Millions of Features in Large Language Models
https://github.com/ernlavr/multihal
공식 코드MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
https://github.com/erxinyu/disbert
공식 코드Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
https://github.com/eumesy/wrd
공식 코드https://github.com/faceless0124/mghstn
공식 코드Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
https://github.com/fduxuan/sdm-attack
공식 코드Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making
https://github.com/flipz357/smatchpp
공식 코드SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
https://github.com/forrestbao/suenes
공식 코드https://github.com/francescocappio/resend
공식 코드https://github.com/fraunhoferivi/ssp
공식 코드https://github.com/ftvalentini/embeddingsbiasfrequency
공식 코드The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings
https://github.com/ftvalentini/embeddingsfrequency
공식 코드Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics
https://github.com/galgreshler/Catch-A-Waveform
공식 코드Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
https://github.com/galprz/simqa
공식 코드https://github.com/gaopengcuhk/ballad
공식 코드A Simple Long-Tailed Recognition Baseline via Vision-Language Model
https://github.com/gbouritsas/cvpr18_multimodal_weakly_supervised_learning
공식 코드Multimodal Visual Concept Learning with Weakly Supervised Techniques
https://github.com/georgestein/galaxy_search
공식 코드Self-supervised similarity search for large scientific datasets
https://github.com/gingasan/adversarialsa
공식 코드https://github.com/gingl/earn
공식 코드Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
https://github.com/google-research/google-research
공식 코드Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval
https://github.com/gsk-ai/rambla
공식 코드RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain
https://github.com/gucioopielka/saliency-semantic-rsa
공식 코드Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
https://github.com/guxiao0822/lt-ds
공식 코드Tackling Long-Tailed Category Distribution Under Domain Shifts
https://github.com/gwohlgen/thai_word_similarity
공식 코드Word Similarity Datasets for Thai: Construction and Evaluation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.