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Yonatan Bisk

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Preprint Oct 2026

ECHO: Embodied Camera Observations of Human Object Carrying

Embodied and assistive agents must do more than recognize objects: they must reason about where an object belongs given the layout of an environment and the habits of the people who live in it. Progress on this problem has been limited, in part because no dedicated benchmark or dataset exists to define and evaluate it....

Xue-Fei Sun, Lorin Achey, K. Hamilton et al. · 0 citations
#machine learning Preprint Sep 2026

Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models

Reasoning over language instructions in embodied tasks such as robotics often requires understanding spatial relations from a speaker's situated perspective. Humans infer such perspectives from shared environmental knowledge, activity context, and commonsense. Recent vision-language models (VLMs) appear capable of spat...

Mimo Shirasaka, Haochen Zhang, Yonatan Bisk · 0 citations
Preprint Aug 2026

Lost in Reconstruction: Aligning Action Representations with Language in Vision-Language-Action Models

SALT is introduced, a Semantically ALigned action Tokenizer that augments a VQ-VAE-style tokenizer with an auxiliary objective requiring a frozen vision-language model to recover the episode instruction from quantized action latents to substantially improve language-conditioned control.

Wen-Jie Li, Yash Jangir, Ignacy Stepka et al. · 1 citation

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