{"total":20,"rows":[{"id":"2407.15350","title":"WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding","created":"2024-07-22","cited_by_count":17,"area":null},{"id":"2305.12641","title":"A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and Beyond","created":"2023-05-22","cited_by_count":12,"area":null},{"id":"2502.14862","title":"Interpretable Text Embeddings and Text Similarity Explanation: A Survey","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2209.09433","title":"Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings","created":"2022-09-20","cited_by_count":10,"area":null},{"id":"2512.03676","title":"Different types of syntactic agreement recruit the same units within large language models","created":"2025-12-03","cited_by_count":8,"area":null},{"id":"2109.08040","title":"Locating Language-Specific Information in Contextualized Embeddings","created":"2021-09-16","cited_by_count":6,"area":null},{"id":"2206.11184","title":"Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles","created":"2022-06-22","cited_by_count":5,"area":null},{"id":"2305.14599","title":"Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations","created":"2023-05-24","cited_by_count":5,"area":null},{"id":"2110.02030","title":"Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings","created":"2021-10-05","cited_by_count":3,"area":null},{"id":"2205.05943","title":"Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs","created":"2022-05-12","cited_by_count":3,"area":null},{"id":"2305.08655","title":"Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering","created":"2023-05-15","cited_by_count":3,"area":null},{"id":"2402.11608","title":"Metric Learning Encoding Models: A Multivariate Framework for Interpreting Neural Representations","created":"2024-02-18","cited_by_count":3,"area":null},{"id":"2502.20681","title":"Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers","created":"2025-02-28","cited_by_count":3,"area":null},{"id":"2508.01128","title":"Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2208.08386","title":"Neural Embeddings for Text","created":"2022-08-17","cited_by_count":0,"area":null},{"id":"2305.02810","title":"Interpretable Sentence Representation with Variational Autoencoders and Attention","created":"2023-05-04","cited_by_count":0,"area":null},{"id":"2305.13499","title":"Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2306.02193","title":"LDEB -- Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues","created":"2023-06-03","cited_by_count":0,"area":null},{"id":"2312.11272","title":"Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2606.24021","title":"Token-to-Token Alignment of Text Embeddings for Semantic Blending","created":"2026-06-22","cited_by_count":0,"area":null}],"next_cursor":null}