Picture for Yuanchun Li

Yuanchun Li

Institute for AI Industry Research, Shanghai AI Laboratory, Shanghai, China

Time's Up! An Empirical Study of LLM Reasoning Ability Under Output Length Constraint

Add code
Apr 22, 2025
Viaarxiv icon

Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment

Add code
Mar 21, 2025
Viaarxiv icon

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation

Add code
Dec 24, 2024
Viaarxiv icon

Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference

Add code
Dec 18, 2024
Viaarxiv icon

ChainStream: An LLM-based Framework for Unified Synthetic Sensing

Add code
Dec 13, 2024
Viaarxiv icon

A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage

Add code
Sep 06, 2024
Figure 1 for A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
Figure 2 for A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
Figure 3 for A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
Figure 4 for A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
Viaarxiv icon

LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design

Add code
May 28, 2024
Viaarxiv icon

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation

Add code
Apr 12, 2024
Figure 1 for LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation
Figure 2 for LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation
Figure 3 for LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation
Figure 4 for LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation
Viaarxiv icon

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance

Add code
Feb 08, 2024
Figure 1 for Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Figure 2 for Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Figure 3 for Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Figure 4 for Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Viaarxiv icon

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Add code
Jan 16, 2024
Figure 1 for A Survey of Resource-efficient LLM and Multimodal Foundation Models
Figure 2 for A Survey of Resource-efficient LLM and Multimodal Foundation Models
Figure 3 for A Survey of Resource-efficient LLM and Multimodal Foundation Models
Figure 4 for A Survey of Resource-efficient LLM and Multimodal Foundation Models
Viaarxiv icon