activity
20192025
most citedReasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

20 citations · 64 across the 14 of their papers we have counts for

collaborators

14 papers

cs.RO2025

Large Video Planner Enables Generalizable Robot Control

Boyuan Chen, Tianyuan Zhang, Haoran Geng +9

General-purpose robots require decision-making models that generalize across diverse tasks and environments. Recent works build robot foundation models by extending multimodal larg…

cs.CV2025

Generative View Stitching

Chonghyuk Song, Michal Stary, Boyuan Chen +2

Autoregressive video diffusion models are capable of long rollouts that are stable and consistent with history, but they are unable to guide the current generation with conditionin…

cs.LG2025

History-Guided Video Diffusion

Kiwhan Song, Boyuan Chen, Max Simchowitz +3

Classifier-free guidance (CFG) is a key technique for improving conditional generation in diffusion models, enabling more accurate control while enhancing sample quality. It is nat…

cs.RO2024★ 12 cited

Controlling diverse robots by inferring Jacobian fields with deep networks

Sizhe Lester Li, Annan Zhang, Boyuan Chen +4

Mirroring the complex structures and diverse functions of natural organisms is a long-standing challenge in robotics. Modern fabrication techniques have greatly expanded the feasib…

cs.LG2024★ 3 cited

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Boyuan Chen, Diego Marti Monso, Yilun Du +3

This paper presents Diffusion Forcing, a new training paradigm where a diffusion model is trained to denoise a set of tokens with independent per-token noise levels. We apply Diffu…

cs.CV2024★ 5 cited

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Boyuan Chen, Zhuo Xu, Sean Kirmani +6

Understanding and reasoning about spatial relationships is a fundamental capability for Visual Question Answering (VQA) and robotics. While Vision Language Models (VLM) have demons…