{"total":21,"rows":[{"id":"2511.20626","title":"ROOT: Robust Orthogonalized Optimizer for Neural Network Training","created":"2025-11-25","cited_by_count":15,"area":null},{"id":"2507.10614","title":"Fine-tuning Large Language Model for Automated Algorithm Design","created":"2025-07-13","cited_by_count":6,"area":null},{"id":"2511.10067","title":"Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning","created":"2025-11-13","cited_by_count":4,"area":null},{"id":"2601.17261","title":"AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning","created":"2026-01-24","cited_by_count":4,"area":null},{"id":"2605.22104","title":"OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization","created":"2026-05-21","cited_by_count":4,"area":null},{"id":"2601.16536","title":"W4A16 Mixed-Precision Matrix Multiplication on Decoupled Architecture: Kernel Design and Memory Bottleneck Analysis for Ascend NPUs","created":"2026-01-23","cited_by_count":3,"area":null},{"id":"2602.11513","title":"Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt","created":"2026-02-12","cited_by_count":2,"area":null},{"id":"2512.23367","title":"Post-Training Quantization of OpenPangu Models for Efficient Deployment on Atlas A2","created":"2025-12-29","cited_by_count":1,"area":null},{"id":"2601.09100","title":"DScheLLM: Enabling Dynamic Scheduling through a Fine-Tuned Dual-System Large language Model","created":"2026-01-14","cited_by_count":1,"area":null},{"id":"2602.00020","title":"Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2602.06384","title":"FMBench: Adaptive Large Language Model Output Formatting","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2603.07970","title":"Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2607.11881","title":"Metacognition in LLMs: Foundations, Progress, and Opportunities","created":"2026-07-13","cited_by_count":1,"area":null},{"id":"2601.15164","title":"V-CAGE: Context-Aware Generation and Verification for Scalable Long-Horizon Embodied Tasks","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2602.01082","title":"EvoOpt-LLM: Evolving industrial optimization models with large language models","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.14462","title":"Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misalignment","created":"2026-02-16","cited_by_count":0,"area":null},{"id":"2603.07122","title":"Combining Adam and its Inverse Counterpart to Enhance Generalization of Deep Learning Optimizers","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2604.09752","title":"A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.14828","title":"Pangu-ACE: Adaptive Cascaded Experts for Educational Response Generation on EduBench","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2605.26784","title":"Ratio-Variance Regularized Policy Optimization","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2607.17806","title":"PGN: Design and Implementation of a Vision-Language Navigation System Based on Pangu Multimodal Foundation Model","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":null}