activity
20232026
most citedInteractive Task Planning with Language Models

4 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Physis-Lang: Self-Evolving Language as a Physical Representation for Video World Model

Liming Lu, Xianzheng Ma, Wenkun He +14

Video world models are expected to predict how the physical world evolves, yet they often produce visually plausible videos that violate basic physical principles. Existing approac…

cs.CV2026

Cosmos 3: Omnimodal World Models for Physical AI

NVIDIA, :, Aditi +293

We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-t…

cs.CV2026

Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing

Baifeng Shi, Stephanie Fu, Long Lian +10

Multi-modal large language models (MLLMs) have advanced general-purpose video understanding but struggle with long, high-resolution videos -- they process every pixel equally in th…

cs.RO2025

The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio

Renhao Wang, Haoran Geng, Tingle Li +7

Robots must integrate multiple sensory modalities to act effectively in the real world. Yet, learning such multimodal policies at scale remains challenging. Simulation offers a via…

cs.LG2024★ 1 cited

Wolf: Dense Video Captioning with a World Summarization Framework

Boyi Li, Ligeng Zhu, Ran Tian +20

We propose Wolf, a WOrLd summarization Framework for accurate video captioning. Wolf is an automated captioning framework that adopts a mixture-of-experts approach, leveraging comp…

cs.CV2024

Synthesizing Moving People with 3D Control

Boyi Li, Junming Chen, Jathushan Rajasegaran +3

In this paper, we present a diffusion model-based framework for animating people from a single image for a given target 3D motion sequence. Our approach has two core components: a)…

cs.RO2023★ 4 cited

Interactive Task Planning with Language Models

Boyi Li, Philipp Wu, Pieter Abbeel +1

An interactive robot framework accomplishes long-horizon task planning and can easily generalize to new goals and distinct tasks, even during execution. However, most traditional m…