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20212026
most citedInference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

3 citations · 3 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration

Mingda Zhang, Tiesunlong Shen, Haoran Luo +4

In recent years, a variety of powerful LLM-based agentic systems have been applied to automate complex tasks through task orchestration. However, existing orchestration methods sti…

cs.AI2026

FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing

Mingda Zhang, Wenjin Liu, Tiesunlong Shen +5

In recent years, agentic workflows have been widely applied to solve complex human tasks. However, existing workflow construction still faces key challenges, including human-depend…

cs.AI2025

A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis

Mingda Zhang, Na Zhao, Jianglong Qin +2

Despite advances from medical large language models in healthcare, rare-disease diagnosis remains hampered by insufficient knowledge-representation depth, limited concept understan…

cs.AI2025

An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis

Mingda Zhang, Na Zhao, Jianglong Qing +3

Legal dispute analysis is crucial for intelligent legal assistance systems. However, current LLMs face significant challenges in understanding complex legal concepts, maintaining r…

cs.AI2024

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities

Lichang Chen, Hexiang Hu, Mingda Zhang +8

We introduce OmnixR, an evaluation suite designed to benchmark SoTA Omni-modality Language Models, such as GPT-4o and Gemini. Evaluating OLMs, which integrate multiple modalities s…