3 papers
cs.AI2026
CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory
Jingguang Li, Yebo Wu, Zuyi Guo +7
Long-context reasoning is essential for complex and long-horizon tasks, yet the performance of large language models (LLMs) degrades as context length increases. Recent approaches…
cs.CV2026
Train Together or Merge Later? Unifying VLA Experts via a Shared Action Interface
Zhizhen Zhang, Yuxia Fu, Zijian Wang +2
Co-training offers a straightforward way to build a multi-task vision-language-action (VLA) policy, but can fall short of the performance achieved by training each task independent…
cs.RO2026
MemTransfer: Benchmarking Memory Beyond Matched Experience in Embodied Decision-Making
Haiming Tang, Xianjie Dai, Gujie Shao +5
Memory lets an embodied agent reuse past experience, yet retaining useful information does not ensure that the agent can apply it when conditions change. We present MemTransfer, a…