{"total":18,"rows":[{"id":"2111.04198","title":"TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning","created":"2021-11-07","cited_by_count":32,"area":null},{"id":"2110.08173","title":"Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models","created":"2021-10-15","cited_by_count":21,"area":null},{"id":"2203.08307","title":"Improving Word Translation via Two-Stage Contrastive Learning","created":"2022-03-15","cited_by_count":18,"area":null},{"id":"2305.09785","title":"Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models","created":"2023-05-16","cited_by_count":8,"area":null},{"id":"2403.17216","title":"Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis","created":"2024-03-25","cited_by_count":4,"area":null},{"id":"2305.12924","title":"EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains","created":"2023-05-22","cited_by_count":2,"area":null},{"id":"2603.11686","title":"In the LLM era, Word Sense Induction remains unsolved","created":"2026-03-12","cited_by_count":2,"area":null},{"id":"2312.08726","title":"Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks","created":"2023-12-14","cited_by_count":1,"area":null},{"id":"2402.07817","title":"Injecting Wiktionary to improve token-level contextual representations using contrastive learning","created":"2024-02-12","cited_by_count":1,"area":null},{"id":"2211.03648","title":"Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems","created":"2022-11-07","cited_by_count":0,"area":null},{"id":"2312.11062","title":"Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2403.16984","title":"Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings","created":"2024-03-25","cited_by_count":0,"area":null},{"id":"2409.08719","title":"Distilling Monolingual and Crosslingual Word-in-Context Representations","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2412.13732","title":"Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2506.03580","title":"Automatically Suggesting Diverse Example Sentences for L2 Japanese Learners Using Pre-Trained Language Models","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2508.04494","title":"CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2509.19269","title":"Extracting Conceptual Spaces from LLMs Using Prototype Embeddings","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2605.23710","title":"A graph-based analysis of semantic types and coercion in contextualized word embeddings","created":"2026-05-22","cited_by_count":0,"area":null}],"next_cursor":null}