Author

Kaiwen Long

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#artificial intelligence Preprint Oct 2026

Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

CLIP serves as a foundational vision-language model and the de facto vision encoder for downstream VLMs such as LLaVA. Post-training offers a lightweight route to refine CLIP, but recent work argues that the standard contrastive loss is unsuitable for post-training due to catastrophic forgetting under small batches, mo...

Zi-Dan Wang, Ya-Qian Li, Xiao-Kai Zhang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Trajectory-Level Speculative Decoding for Diffusion Language Models

This work develops a trajectory-level speculative framework that constructs draft denoising trajectories via confidence-stratified tree exploration and verifies them through blockwise parallel evaluation with bidirectional attention masking, and introduces inter-block speculation, exploiting diffusion models'bidirectio...

Tian-Xiang Pan, Baitao Gong, Mo Guang et al. · 0 citations