most citedGlance and Focus: Memory Prompting for Multi-Event Video Question Answering

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

When the Past Shapes Action: Understanding Embodied Memory

Siqi Li, Ziyi Bai, Xinrun Xu +2

Recent advances in generative foundation models have expanded the capabilities of embodied AI, enabling increasingly general navigation, manipulation, and long-horizon task executi…

cs.LG2026

PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents

Ziyi Bai, Siqi Li, Tinglei Huang +1

Recent studies have shown that multimodal large language models (MLLMs) can serve as embodied agents, translating language instructions and visual observations into executable plan…

cs.RO2026

PRISM: : Planning and Reasoning with Intent in Simulated Embodied Environments

Yunn Kang Lim, Pengzhan Sun, Ziyi Bai +4

When an LLM-based embodied agent fails at a household task, the culprit could be misidentified objects, forgotten sub-goals, or poor action sequencing -- yet existing benchmarks re…

cs.RO2026

EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models

Yu Bai, MingMing Yu, Chaojie Li +3

Deploying humanoid robots in real-world settings is fundamentally challenging, as it demands tight integration of perception, locomotion, and manipulation under partial-information…

cs.CV2024★ 2 cited

Glance and Focus: Memory Prompting for Multi-Event Video Question Answering

Ziyi Bai, Ruiping Wang, Xilin Chen

Video Question Answering (VideoQA) has emerged as a vital tool to evaluate agents' ability to understand human daily behaviors. Despite the recent success of large vision language…