12 papers
FlashNav: Ultra-Fast Policy Training for Robot Navigation within 20 Seconds
Shanze Wang, Yiwei Qian, Xinming Zhang +6
Deep reinforcement learning has shown strong potential for robot navigation, but its practical deployment is still limited by the long wall-clock cost of policy training. This pape…
AgniNav: Configuration-Driven Cross-Embodiment Local Planning for Robot Navigation
Tianhao Zang, Siwei Cheng, Haidong Huang +2
Monocular local navigation is attractive for lightweight robots, but existing vision-based policies often couple perception to a specific body, camera height, and footprint, making…
Exact Is Easier: Credit Assignment for Cooperative LLM Agents
Yanjun Chen, Yirong Sun, Hanlin Wang +5
Removing an agent from a cooperative team to measure its contribution seems natural, yet in multi-agent LLM systems this evaluation distorts the result it claims to measure. This f…
MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models
Haohang Huang, Xuan Lu, Mingyi Su +9
Multimodal embedding models aim to map heterogeneous inputs, such as text, images, videos, and audio, into a shared semantic space. However, existing methods and benchmarks remain…
From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models
Junlong Tong, Zilong Wang, YuJie Ren +4
Standard Large Language Models (LLMs) are predominantly designed for static inference with pre-defined inputs, which limits their applicability in dynamic, real-time scenarios. To…
Evaluation Before Generation: A Paradigm for Robust Multimodal Sentiment Analysis with Missing Modalities
Rongfei Chen, Tingting Zhang, Xiaoyu Shen +1
The missing modality problem poses a fundamental challenge in multimodal sentiment analysis, significantly degrading model accuracy and generalization in real world scenarios. Exis…