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Preprint Sep 2026

GIFT: Goal-Injected Fine-Tuning for Efficient Manipulation Policy Adaptation

Compared with relying solely on initial observations and language instructions, predicting goal images with generative models as high-level visual guidance can significantly enhance the robustness of Vision-Language-Action (VLA) models. However, most existing foundation models have not systematically incorporated goal...

Xiao-Yuan Fang, Shuo Feng, Yuxuan Wang et al. · 0 citations
Jul 2026

DeLS-Spec: Decoupled Long-Short Contexts for Parallel Speculative Drafting

DeLS-Spec is proposed, a decoupled long-short context speculative decoding method that treats the fixed DFlash model as a long-context expert and introduces a lightweight local head as a short-context expert and consistently improves speedup and average acceptance length over DFlash across math, code, and dialogue benc...

Hong-Kai Zheng, Pi-Ji Li · 2 citations
Preprint Aug 2026

AirAlign: Geometry-Aware Relative Pose Alignment for UAV Last-Meter Navigation

AirAlign is proposed, a framework for RGB-only image-pair relative pose alignment for UAVs, using a pretrained visual geometry reconstruction model as the backbone to extract geometry-aware features from source-target image pairs.

Jin-Yi Zhou, Shuo Feng, Yufei Wu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation

This work proposes MI-Distillation, a framework that constructs a continuous Instruct-Reasoning data spectrum through model interpolation, and introduces SeqLSS, which favors reasoning paths that are both informative and learnable for the student.

Yangsong Lan, Ren-Kai Hu, Hong-Kai Zheng et al. · 0 citations

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