{"total":14,"rows":[{"id":"2504.05570","title":"Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study","created":"2025-04-07","cited_by_count":18,"area":null},{"id":"2505.12831","title":"Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering","created":"2025-05-19","cited_by_count":13,"area":null},{"id":"2511.08225","title":"Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback","created":"2025-11-11","cited_by_count":5,"area":null},{"id":"2507.20783","title":"On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey","created":"2025-07-28","cited_by_count":3,"area":null},{"id":"2511.17129","title":"Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation","created":"2025-11-21","cited_by_count":3,"area":null},{"id":"2506.00077","title":"Gaussian mixture models as a proxy for interacting language models","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2502.15996","title":"Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts","created":"2025-02-21","cited_by_count":1,"area":null},{"id":"2601.13569","title":"DRGW: Learning Disentangled Representations for Robust Graph Watermarking","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2608.02415","title":"Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2506.08174","title":"LLM-BT-Terms: Back-Translation as a Framework for Terminology Standardization and Dynamic Semantic Embedding","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2506.15330","title":"Universal Laboratory Model: prognosis of abnormal clinical outcomes based on routine tests","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2509.16717","title":"Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling","created":"2025-09-20","cited_by_count":0,"area":null},{"id":"2605.01407","title":"The Pre-Training Study of Expanded-SPLADE Models on Web Document Titles","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2606.05858","title":"ReverseEOL: Improving Training-free Text Embeddings via Text Reversal in Decoder-only LLMs","created":"2026-06-04","cited_by_count":0,"area":null}],"next_cursor":null}