3 papers
cs.AI2025
IoT-LLM: a framework for enhancing Large Language Model reasoning from real-world sensor data
Tuo An, Yunjiao Zhou, Han Zou +1
Large Language Models excel in textual tasks but often struggle with physical-world reasoning tasks. Inspired by human cognition, where perception is fundamental to reasoning, we e…
cs.CV2025
Generative Dataset Distillation using Min-Max Diffusion Model
Junqiao Fan, Yunjiao Zhou, Min Chang Jordan Ren +1
In this paper, we address the problem of generative dataset distillation that utilizes generative models to synthesize images. The generator may produce any number of images under…
cs.CL2024
RecurFormer: Not All Transformer Heads Need Self-Attention
Ruiqing Yan, Linghan Zheng, Xingbo Du +3
Transformer-based large language models (LLMs) excel in modeling complex language patterns but face significant computational costs during inference, especially with long inputs du…