565 citations · 568 across the 8 of their papers we have counts for
8 papers
Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction
Jialian Li, Junhong Liu, Yuchen Cao +6
Large language models (LLMs) have demonstrated remarkable capabilities in language understanding, reasoning, and world knowledge. As embodied agents become increasingly capable, th…
Engagement Process: Rethinking the Temporal Interface of Action and Observation
Jialian Li, Yuchen Cao, Junhong Liu +5
Task completion in digital and physical environments increasingly involves complex temporal interaction, where actions and observations unfold over different time scales rather tha…
Terminal Velocity Matching
Linqi Zhou, Mathias Parger, Ayaan Haque +1
We propose Terminal Velocity Matching (TVM), a generalization of flow matching that enables high-fidelity one- and few-step generative modeling. TVM models the transition between a…
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song
Diffusion models and Flow Matching generate high-quality samples but are slow at inference, and distilling them into few-step models often leads to instability and extensive tuning…
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
Jiaming Song, Linqi Zhou
Generative pre-training is often framed through a false dichotomy between autoregressive models for discrete signals and diffusion models for continuous signals. We argue that the…
Personalized Preference Fine-tuning of Diffusion Models
Meihua Dang, Anikait Singh, Linqi Zhou +2
RLHF techniques like DPO can significantly improve the generation quality of text-to-image diffusion models. However, these methods optimize for a single reward that aligns model g…
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
Gengchen Mai, Ni Lao, Weiwei Sun +7
Existing digital sensors capture images at fixed spatial and spectral resolutions (e.g., RGB, multispectral, and hyperspectral images), and each combination requires bespoke machin…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…