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20242026
most citedEnhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought

7 citations · 9 across the 9 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

HiconAgent: History Context-aware Policy Optimization for GUI Agents

Xurui Zhou, Gongwei Chen, Yuquan Xie +6

Graphical User Interface (GUI) agents require effective use of historical context to perform sequential navigation tasks. While incorporating past actions and observations can impr…

cs.RO2025

DAgger Diffusion Navigation: DAgger Boosted Diffusion Policy for Vision-Language Navigation

Haoxiang Shi, Xiang Deng, Zaijing Li +3

Vision-Language Navigation in Continuous Environments (VLN-CE) requires agents to follow natural language instructions through free-form 3D spaces. Existing VLN-CE approaches typic…

cs.AI2025

Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills

Yuquan Xie, Zaijing Li, Rui Shao +5

Recent efforts to leverage the Multi-modal Large Language Model (MLLM) as GUI agents have yielded promising outcomes. However, these agents still struggle with long-horizon tasks i…

cs.AI2025

Optimus-3: Dual-Router Aligned Mixture-of-Experts Agent with Dual-Granularity Reasoning-Aware Policy Optimization

Zaijing Li, Yuquan Xie, Rui Shao +5

Developing generalist agents capable of solving open-ended tasks in visually rich, dynamic environments remains a core pursuit of embodied AI. While Minecraft has emerged as a comp…

cs.CV2025

Spatial Understanding from Videos: Structured Prompts Meet Simulation Data

Haoyu Zhang, Meng Liu, Zaijing Li +4

Visual-spatial understanding, the ability to infer object relationships and layouts from visual input, is fundamental to downstream tasks such as robotic navigation and embodied in…

cs.AI2025

Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy

Zaijing Li, Yuquan Xie, Rui Shao +3

Building an agent that can mimic human behavior patterns to accomplish various open-world tasks is a long-term goal. To enable agents to effectively learn behavioral patterns acros…