Recent video diffusion models have achieved remarkable generation quality, but high-fidelity results still largely depend on closed-source systems or costly large-scale infrastructure. Test-time scaling (TTS) offers a training-free way to improve lightweight generators by spending additional inference compute, yet exis...
Hangzhou He, Lun-Hao Duan, Shan-Shan Zhao et al.· 0 citations
This work proposes a novel framework, Search2Skill, that automatically identifies the agent's capability gaps, searches external sources to address them, and distills the retrieved evidence into structured, reusable skills.
Muyang Ye, Tian Lan, Feihu Jiang et al.· 1 citation
Credit-Aware Hierarchical Memory Evolution (CHIME), a self-evolving memory framework that maintains a separate planning bank and execution bank and follows an attribute-before-memorize principle, which shows that CHIME consistently outperforms state-of-the-art training-based and self-evolving memory baselines.
Yongshi Ye, Tian Lan, Feihu Jiang et al.· 0 citations
WnW (Waxing-and-Waning KV cache), which classifies KV-heads into anchor, tidal, and fixed roles via offline calibration, and preserves near-Full-Cache accuracy while keeping only 20% of audio tokens on GPU, where prefill-only baselines fail to terminate.
Yi-Ming Yao, Chenyang Lyu, Xuan-Fan Ni et al.· 0 citations
This work introduces OvisOCR2, a 0.8B document parsing model designed as an end-to-end parser that combines filtered real-document annotations with synthetic pages whose rendered images and Markdown targets are derived from the same HTML source.
This work proposes M ulti-Model C ontrastive D ecoding (MCD), which integrates a pretrained language model with an evil model and a truthful model for contrastive decoding and effectively reduces hallucinations in LLMs and outperforms state-of-the-art methods across various benchmarks.
Chenyu Zhu, Yefeng Liu, Hao Zhang et al.· Neural Information Processin...· 7 citations
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