Chaoning Zhang

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

Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain

$\mathrm{D^3}$: Divide, Describe, and Diffuse: Prompt-Enriched, Scene-Aware Dataset Condensation for Object Detection

Text summarization via global structure awareness

Topological Retrieval-Augmented Generation via Intersecting Evidence Paths

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

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

Unlocking Coherent Reasoning in LLMs with Hierarchical Soft Prompts

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

MemoryField: Exploiting Gravitational Field for Long-term Memory Management

Topology aware optimization of soft prompts

Enhancing Reasoning Chains through GANs and Textual Gradient Feedback

Beyond Audio-Visual Alignment: Unmasking Talking Head Deepfakes via Red Hue Discrepancies in HSV Color Space

ImpResDescan: Diffusion-Based Restoration for Scanned Document Images via Implicit and Ambient Training

SCMF: Lightweight Retrieval-Augmented Generation via Retrieval Vector Compression

Black-box Targeted Adversarial Attack on Segment Anything (SAM)

Segment Anything Meets Universal Adversarial Perturbation