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TitleStatusHype
Locality Preserving Loss: Neighbors that Live together, Align together—0
Locality Preserving Sentence Encoding—0
Lost in Translation -- Multilingual Misinformation and its Evolution—0
Low-Resource Corpus Filtering using Multilingual Sentence Embeddings—0
LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts—0
LSX_team5 at SemEval-2022 Task 8: Multilingual News Article Similarity Assessment based on Word- and Sentence Mover’s Distance—0
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP—0
Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation—0
Mechanistic Decomposition of Sentence Representations—0
Mesure de similarité textuelle pour l’évaluation automatique de copies d’étudiants (Textual similarity measurement for automatic evaluation of students’ answers)—0
Meta-Embedding Sentence Representation for Textual Similarity—0
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
Modeling Sentences in the Latent Space—0
Monolingual Phrase Alignment on Parse Forests—0
Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi—0
Multi-label Cross-lingual automatic music genre classification from lyrics with Sentence BERT—0
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—0
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks—0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection—0
NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation—0
Neural Embeddings for Text—0
Neural Net Models of Open-domain Discourse Coherence—0
Learning Sentence Embeddings for Coherence Modelling and Beyond—0
New Curriculum, New Chance -- Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation—0
No means ‘No’; a non-im-proper modeling approach, with embedded speculative context—0
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