{"total":14,"rows":[{"id":"2506.22316","title":"Evaluating Scoring Bias in LLM-as-a-Judge","created":"2025-06-27","cited_by_count":43,"area":null},{"id":"2412.18459","title":"Underwater Image Restoration via Polymorphic Large Kernel CNNs","created":"2024-12-24","cited_by_count":14,"area":null},{"id":"2506.10337","title":"GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models","created":"2025-06-12","cited_by_count":5,"area":null},{"id":"2510.12251","title":"DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2507.02270","title":"MAC-Lookup: Multi-Axis Conditional Lookup Model for Underwater Image Enhancement","created":"2025-07-03","cited_by_count":2,"area":null},{"id":"2510.17882","title":"Does GenAI Rewrite How We Write? An Empirical Study on Two-Million Preprints","created":"2025-10-18","cited_by_count":2,"area":null},{"id":"2511.19829","title":"Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level","created":"2025-11-25","cited_by_count":2,"area":null},{"id":"2604.06393","title":"ART: Attention Replacement Technique to Improve Factuality in LLMs","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2605.19285","title":"Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2412.19650","title":"Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP","created":"2024-12-27","cited_by_count":0,"area":null},{"id":"2509.22654","title":"A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2510.00547","title":"Forestpest-YOLO: A High-Performance Detection Framework for Small Forestry Pests","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2511.12630","title":"Knots: A Large-Scale Multi-Agent Enhanced Expert-Annotated Dataset and LLM Prompt Optimization for NOTAM Semantic Parsing","created":"2025-11-16","cited_by_count":0,"area":null},{"id":"2610.19872","title":"RCCM: Diagnosing Gains and Harms in Reasoning-Prompt Transfer","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}