Papers by Heting Ying

2 papers
Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research (2025.acl-demo)

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Challenge: Language agents powered by large language models (LLMs) have demonstrated remarkable capabilities in understanding, reasoning, and executing complex tasks.
Approach: They propose a flexible framework that addresses engineering overhead and insufficient evaluation frameworks for fair comparison.
Outcome: The proposed framework simplifies language agent development and establishes a foundation for reproducible agent research.
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer (2024.emnlp-main)

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Challenge: Large Language Models (LLMs) have expanded their capabilities to multimodal contexts, including comprehensive video understanding.
Approach: They propose to store and retrieve relevant video frames for specific queries and a Divide-and-Conquer loop capable of autonomous reasoning.
Outcome: The proposed model efficiently stores and retrieves relevant video frames for specific queries, preserving the detailed content of videos.

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