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Yingying Chen

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#machine learning Preprint Sep 2026

CT-OPD: Counterfactual Trace On-Policy Distillation for Diffusion Vision-Language Models

Counterfactual Trace On-Policy Distillation (CT-OPD), which combines completed teacher responses with trajectory masks from the current student, consistently enhances multimodal understanding and reasoning capabilities, and improves both visual understanding and image generation.

Long Qian, Bing-Ke Zhu, Jia-Qi Wei et al. · 0 citations
#machine learning Preprint Sep 2026

OmniMoE-VL: A Sparse Vision-Language Model with Coupled Visual-Depth Routing

OmniMoE-VL, a sparse VLM with a coupled visual-depth routed projector, enables question-dependent visual access while preserving the native visual-token sequence, and complements token-level expert routing in the vision and language stacks.

Long Qian, Bing-Ke Zhu, Jia-Qi Wei et al. · 0 citations
#machine learning Preprint Sep 2026

WaveTLM: Reliable Time-Series Language Modeling through Task Compilation

Time-series language models provide a shared natural-language interface across temporal tasks, but plausible text does not guarantee reliable task outputs. Responses may appear reasonable while hallucinating the required object: numerical sequences can violate shape, scale, channel order, or temporal alignment, and tex...

Jia-Hui Chen, Bing-Ke Zhu, Hong-Yu Pan et al. · 0 citations
Preprint Aug 2026

Messages, Not Tokens: Grounded Coresets for Faithful VLM Compression

Fidelity visual compression is formulated as constructing a compact coreset for decoder messages, and Grounded Message Coreset Pruning is introduced which jointly allocates support across query-grounded, appearance, and coordinate-aware evidence, then transports discarded states into selected representatives at their o...

Long Qian, Jiaqi Wei, Bingke Zhu et al. · 0 citations
Preprint Aug 2026

HarnessWAM: Bridging Prediction and Deliberation in World Action Models

Results demonstrate that model-external structured state maintenance and closed-loop agentic decision making can effectively extend the local control capabilities of WAMs into embodied task execution that is plannable, verifiable, and recoverable.

Zhao-Peng Gu, Bing-Ke Zhu, Tianxin Lin et al. · 5 citations

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