Jiaming Hou — accepted AI-conference papers

2026

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning

Liutao, Xutao Mao, Dixuan Zhang, Yifan Li, LiuHaixin, KongLulu +9

AAAI 2026technical

Text-to-SQL is a critical task in natural language processing that aims to transform natural language questions into accurate and executable SQL queries. In real-world scenarios, these reasoning tasks are often accompanied by complex mathematical computations, domain knowledge, and hypothetical reas

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2025

Towards Robust Autonomous Driving: Conditional Multimodal Large Language Models for Fine-Grained Perception

Fengzhao Sun, Jun Yu, Yunxiang Zhang, Jiaming Hou, Xilong Lu, Heng Song +1

ICRA 2025

Multimodal large language models (MLLMs) have shown remarkable performance across various visual understanding tasks. However, most existing MLLMs still lack image detail perception, limiting their effectiveness in tasks that require detailed visual information. In this paper, we introduce Percept-D

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