Lidong Lu — accepted AI-conference papers

2026

AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs

Lidong Lu, Guo Chen, Zhu Wei, Zhiqi Li, Yicheng Liu, Tong Lu

CVPR 2026

Despite progress in video understanding, current MLLMs struggle with counting tasks. Existing benchmarks are limited by short videos, close-set queries, lack of clue annotations, and weak multimodal coverage. In this paper, we introduce CG-AV-Counting, a manually-annotated clue-grounded counting ben

Cited by 0 Source ↗code ↗Scholar ↗

2025

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models

Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu +11

NeurIPS 2025poster

We introduce Eagle2.5, a frontier vision-language model (VLM) for long-context multimodal learning. Our work addresses the challenges in long video comprehension and high-resolution image understanding, introducing a generalist framework for both tasks. The proposed training framework incorporates A…

Cited by 0 Source ↗Scholar ↗