1 citations · 1 across the 4 of their papers we have counts for
4 papers
OPSDL: On-Policy Self-Distillation for Long-Context Language Models
Xinsen Zhang, Zhenkai Ding, Tianjun Pan +4
Extending the effective context length of large language models (LLMs) remains a central challenge for real-world applications. While recent post-training methods have made progres…
Artificial Hippocampus Networks for Efficient Long-Context Modeling
Yunhao Fang, Weihao Yu, Shu Zhong +3
Long-sequence modeling faces a fundamental trade-off between the efficiency of compressive fixed-size memory in RNN-like models and the fidelity of lossless growing memory in atten…
Seed1.5-VL Technical Report
Dong Guo, Faming Wu, Feida Zhu +194
We present Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning. Seed1.5-VL is composed with a 532M-parameter v…
Streaming Dense Video Captioning
Xingyi Zhou, Anurag Arnab, Shyamal Buch +5
An ideal model for dense video captioning -- predicting captions localized temporally in a video -- should be able to handle long input videos, predict rich, detailed textual descr…