1 citations · 1 across the 5 of their papers we have counts for
4 papers · 1 filter
In-Context Learning for Robots: Methods and Applications
Haojian Huang, Zexi Li, Junhao Guo +36
General-purpose robots must infer what a new task requires and translate that understanding into appropriate physical action. In-context learning (ICL) for robots supports this pro…
Robo-Harness K1: Harnessing Robot-Use Agents via Perception Augmentation
Zexi Li, Yehang Zhang, Wenqian Li +12
Foundation vision-language models (VLMs) understand objects, instructions, and spatial relations, yet translating this capability into robotic manipulation remains difficult. Visio…
CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying
Yizhou Tian, Zizhe Chen, Shiyuan Deng +7
Memory facilitates question answering over long videos by extracting and retrieving facts to fit within the limited context windows of multimodal LLMs (MLLMs). Existing solutions t…
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
Zijie Dai, Shiyuan Deng, Sheng Guan +4
Memory systems often organize user-agent interactions as retrievable external memory and are crucial for long-running agents by overcoming the limited context windows of LLMs. Howe…