2 papers
cs.CV2026
EAGLE-360: Embodied Active Global-to-Local Exploration in 360
Jingtao Xu, Zizhuo Lin, Jianwen Sun +2
While Multimodal Large Language Models (MLLMs) have demonstrated exceptional capabilities in standard visual understanding, adapting them for active visual search in 360 pa…
cs.CL2026
Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language Models
Zizhuo Lin, Quanling Liu, Jinsheng Quan +6
Large language models (LLMs) often solve a task when all instructions are given in a single prompt, but fail when the same information is revealed gradually across turns. When a cl…