Autonomous research seeks sustained model improvements through iterative experimentation and feedback. LLM agents show promise in automating machine learning and language-model post-training, but their ability to sustain multimodal improvement remains unclear. We introduce MMPostTrainBench, a benchmark spanning eight t...
Yu-Xin Liu, Yuxuan Wang, Zhen-Xin Lei et al.· 0 citations
VLZip is introduced, a framework that unifies visual and textual compression for high-fidelity reasoning within a pure Transformer, and establishes an efficient and powerful new standard for long-context multimodal AI.
Yu-Qi Zhang, Cheng Chen, Yuyu Guo et al.· 0 citations
This work introduces Edit2TikZ, a comprehensive benchmark for scientific figure editing tasks, featuring 1,548 diverse and high-quality samples, and constructs a human-aligned evaluation framework to measure whether a requested edit is completed while irrelevant content is preserved.
Zong-Yun Zhang, Jiacheng Ruan, Xian Gao et al.· 0 citations
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