activity
20242026
most citedA Survey of Resource-efficient LLM and Multimodal Foundation Models

32 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review

Jingbo Chen, He Wang, Wei Yuan +2

Worldbuilding, the construction of coherent fictional worlds, is a foundational task in game design and literary creation. Large Language Models (LLMs) offer new possibilities for…

cs.LG2025

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs

Zhenyan Lu, Daliang Xu, Dongqi Cai +5

Large language models (LLMs) are deployed on mobile devices to power killer applications such as intelligent assistants. LLMs pre-trained on general corpora often hallucinate when…

cs.CL2024★ 1 cited

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training

Rongjie Yi, Xiang Li, Weikai Xie +6

The interest in developing small language models (SLM) for on-device deployment is fast growing. However, the existing SLM design hardly considers the device hardware characteristi…

cs.CL2024★ 17 cited

Small Language Models: Survey, Measurements, and Insights

Zhenyan Lu, Xiang Li, Dongqi Cai +5

Small language models (SLMs), despite their widespread adoption in modern smart devices, have received significantly less academic attention compared to their large language model…

cs.LG2024★ 32 cited

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Mengwei Xu, Wangsong Yin, Dongqi Cai +15

Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine lear…