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Chang Zong

3 accepted papers

2026

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency

AAAI 2026technical

Graphical User Interface (GUI) grounding, the task of mapping natural language instructions to precise screen coordinates, is fundamental to autonomous GUI agents. While existing methods achieve strong performance through extensive supervised training or reinforcement learning with labeled rewards,

Cited by 0SourcePDFScholar
2024

Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning

ACL 2024long

While large language models (LLMs) have showcased remarkable prowess in various natural language processing tasks, their training costs are exorbitant. Consequently, a plethora of parameter-efficient fine-tuning methods have emerged to tailor large models for downstream tasks, including low-rank tra…

Cited by 2SourcePDFScholar
2024

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering

EMNLP 2024main

Recent progress with LLM-based agents has shown promising results across various tasks. However, their use in answering questions from knowledge bases remains largely unexplored. Implementing a KBQA system using traditional methods is challenging due to the shortage of task-specific training data an…