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cs.CV2026
Mitigating the Reasoning Tax in Vision-Language Fine-Tuning with Input-Adaptive Depth Aggregation
Yiming Ren, Yujiu Yang, Junjie Wang
Supervised fine-tuning (SFT) on visual instruction data often improves perceptual capabilities in vision-language models (VLMs) while degrading reasoning performance, creating a pe…
cs.CV2025
Nav- Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation
Wentao Xiang, Haokang Zhang, Tianhang Yang +10
Object-goal navigation in open-vocabulary settings requires agents to locate novel objects in unseen environments, yet existing approaches suffer from opaque decision-making proces…