{"total":15,"rows":[{"id":"2404.15159","title":"MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts","created":"2024-04-22","cited_by_count":147,"area":"moe"},{"id":"2502.16894","title":"Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment","created":"2025-02-24","cited_by_count":23,"area":"moe"},{"id":"2507.00029","title":"LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing","created":"2025-06-17","cited_by_count":18,"area":"moe"},{"id":"2502.15828","title":"A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models","created":"2025-02-20","cited_by_count":9,"area":"moe"},{"id":"2509.00996","title":"MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper","created":"2025-08-31","cited_by_count":5,"area":"moe"},{"id":"2601.04823","title":"DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models","created":"2026-01-08","cited_by_count":5,"area":"moe"},{"id":"2502.03884","title":"Rank Also Matters: Hierarchical Configuration for Mixture of Adapter Experts in LLM Fine-Tuning","created":"2025-02-06","cited_by_count":2,"area":"moe"},{"id":"2507.03526","title":"Decoupled Relative Learning Rate Schedules","created":"2025-07-04","cited_by_count":2,"area":"moe"},{"id":"2509.14900","title":"FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts","created":"2025-09-18","cited_by_count":2,"area":"moe"},{"id":"2601.06356","title":"Monkey Jump : MoE-Style PEFT for Efficient Multi-Task Learning","created":"2026-01-09","cited_by_count":2,"area":"moe"},{"id":"2603.12645","title":"LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing","created":"2026-03-13","cited_by_count":2,"area":"moe"},{"id":"2605.25565","title":"RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism","created":"2026-05-25","cited_by_count":1,"area":"moe"},{"id":"2607.21978","title":"MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation","created":"2026-07-24","cited_by_count":1,"area":"moe"},{"id":"2609.36301","title":"MoRE: Scaling mixture of experts with hardware-aware low-rank routing","created":"2026-09-28","cited_by_count":0,"area":"moe"},{"id":"2610.19033","title":"How Many Ranks Does a Token Need? A Noise-Floor Squelch for Rank-One LoRA Experts","created":"2026-10-13","cited_by_count":0,"area":"moe"}],"next_cursor":null}