5 papers · 1 filter
CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding
Zhikun Zhou, Kunyu Peng, Runyi Yang +7
Referring scene understanding for embodied robots requires grounding object- and relation-centric language queries from a designated viewpoint. While a local semantic Gaussian map…
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
Chenghao Qiu, Chunli Peng, Yufeng Yang +2
In-context learning (ICL) is often motivated by the intuition that demonstrations help because they provide correct input-output examples. However, we reveal a counterintuitive phe…
Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
Kunyu Peng, Zhikun Zhou, Kailun Yang +9
Multimodal Large Language Models (MLLMs) have made substantial progress in egocentric video understanding, but their ability to reason cooperatively from multiple embodied viewpoin…
CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation
Haodong Li, Chunmei Qing, Huanyu Zhang +11
Recent advancements in Unified Multimodal Models (UMMs) have significantly advanced text-to-image (T2I) generation, particularly through the integration of Chain-of-Thought (CoT) r…
Entropy-Aware On-Policy Distillation of Language Models
Woogyeol Jin, Taywon Min, Yongjin Yang +5
On-policy distillation is a promising approach for transferring knowledge between language models, where a student learns from dense token-level signals along its own trajectories.…