Li Chen
5 papers · Latest:
RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
RecGPT-Mobile deploys lightweight LLMs directly on mobile devices to understand user intent in real-time, improving e-commerce recommendations.
General-Purpose Technology and Speculative Bubble Detection
A new method for detecting speculative bubbles accounts for general-purpose technology adoption, correcting existing test distortions and re-evaluating historical rallies.
Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
This paper introduces causality-encoded diffusion models for interventional sampling and directed edge inference, improving causal analysis.
SAGER: Self-Evolving User Policy Skills for Recommendation Agent
SAGER introduces self-evolving user policy skills to personalize LLM recommendation agents' reasoning, improving performance beyond memory updates.
Rethinking AI Hardware: A Three-Layer Cognitive Architecture for Autonomous Agents
The Tri-Spirit Architecture introduces a three-layer cognitive framework for autonomous agents, significantly reducing latency and energy consumption.
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