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20242026
most citedFLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

4 citations · 13 across the 37 of their papers we have counts for

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cs.LG2026

Benchmarking Composable Compression Techniques in Mixture-of-Experts LLMs

Afsara Benazir, Chen Chen, Rongxiao Qu +3

Mixture-of-Experts (MoE) LLMs scale model capacity efficiently through sparse activation, but their large expert parameter footprint, routing imbalance, and long-context KV-cache g…

cs.CV2026

UniCompress: Token Compression for Unified Vision-Language Understanding and Generation

Ziyao Wang, Chen Chen, Jingtao Li +4

Unified models aim to support both understanding and generation by encoding images into discrete tokens and processing them alongside text within a single autoregressive framework.…