Recent advances in video generative models have enabled high-fidelity, temporally coherent video generation. However, these models often struggle to satisfy prompts requiring specialized knowledge, specific identities, physical consistency, or ordered events. In this paper, we present VideoGen-Agent, a multimodal agent...
Bin-Xu Li, Hao-Yi Duan, Yu-Hui Zhang et al.· 0 citations
Post-training has been shown to significantly improve language models'performance on tasks with verifiable outcomes, including mathematical reasoning, software engineering, and computer use. However, whether the same approach can improve forecasting in financial markets is much less clear. Compared with tasks with veri...
Jia-Cheng Guo, Suo-Zhi Huang, Shu-Zhen Li et al.· 0 citations
AQuA, which comprises two separate language-model-driven research systems: one for symbolic factor discovery and one for trainable model development, is presented, which comprises two separate language-model-driven research systems that implement recursive self-improvement at the level of the research process.
Jiacheng Guo, Suozhi Huang, Yun-Long Gao et al.· 0 citations
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