Jiaquan Zhang

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models

Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain

Text summarization via global structure awareness

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization

RAG-FGO: Enhancing RAG with Fungal Growth Optimizer for LLM Agents

Enhancing Reasoning Chains through GANs and Textual Gradient Feedback

Topology aware optimization of soft prompts

Unlocking Coherent Reasoning in LLMs with Hierarchical Soft Prompts

MemoryField: Exploiting Gravitational Field for Long-term Memory Management

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models

SCMF: Lightweight Retrieval-Augmented Generation via Retrieval Vector Compression