gradient-free methods 1in-context learning 1multimodal retrieval 1on-device inference 1task-conditioned retrieval 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CL2026
Gradient-free Task-Conditioned Retrieval for On-Device In-Context Learning
Xinyu Luo, Hui Liu, Yihua Shao +3
The paper introduces Conditional Retrieval Alignment (CoRA), a gradient‑free method that turns a frozen encoder into a task‑conditioned retriever for on‑device in‑context learning,…
cs.LG2026
Efficient Test-Time Adaptation through Latent Subspace Coefficients Search
Xinyu Luo, Jie Liu, Kecheng Chen +4
Real-world deployment often exposes models to distribution shifts, making test-time adaptation (TTA) critical for robustness. Yet most TTA methods are unfriendly to edge deployment…
cs.AR2024
Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks
Junyi Yang, Ruibin Mao, Mingrui Jiang +9
Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using p…