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Liming Chen

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Preprint Oct 2026

MOTIP2: Spatial Priors for End-to-End Multi-Object Tracking

End-to-end multi-object trackers have narrowed the gap with classical tracking-by-detection on association-difficult benchmarks. Yet they still make spatially implausible errors no classical tracker would, such as assigning one identity to objects on opposite sides of the frame. A model could learn to avoid them, but t...

Benoît Roussel, Damien Bouet, Li-Ming Chen et al. · 0 citations
#small language model Preprint Aug 2026

Phantom Gains: Auditing Self-Improvement Against a Measured Null

Auditing three rounds of rank-$32$ LoRA self-training on Qwen3-8B against a frozen control pushed through the identical pipeline, this work identifies seven measurement failures, each of which inverts a reported finding when its control is absent.

Cheng Xu, Nan Yan, Li-Ming Chen et al. · 4 citations

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