2 citations · 2 across the 7 of their papers we have counts for
9 papers
Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos
Jinzhou Tang, Zijun Zhang, Jing Yang +10
Building interactive simulators from real-world observations is a promising way to scale embodied data, but current pipelines still rely heavily on manual environment construction…
CausalWM: Causal Chain-of-Thought Reasoning for Embodied World Model
Ziming Xu, Shuang Liang, Ruobing Han +10
Embodied world models learn to predict future physical dynamics from visual observations and control signals, where physical knowledge is implicitly entangled within latent represe…
Causally Debiased Latent Action Model for Embodied Action-Conditioned World Models
Yufan Wei, Kun Zhou, Lingjun Mao +9
Action-conditioned world models (ACWMs) aim to simulate future observations conditioned on embodied actions. However, learning controllable ACWMs requires large-scale action-labele…
Learning Plug-and-play Memory for Guiding Video Diffusion Models
Selena Song, Ziming Xu, Zijun Zhang +4
Diffusion Transformer(DiT) based video generation models have recently achieved impressive visual quality and temporal coherence, but they still frequently violate basic physical l…
Better Prompt Compression Without Multi-Layer Perceptrons
Edouardo Honig, Andrew Lizarraga, Zijun Frank Zhang +1
Prompt compression is a promising approach to speeding up language model inference without altering the generative model. Prior works compress prompts into smaller sequences of lea…
Long-range gene expression prediction with token alignment of large language model
Edouardo Honig, Huixin Zhan, Ying Nian Wu +1
Gene expression is a cellular process that plays a fundamental role in human phenotypical variations and diseases. Despite advances of deep learning models for gene expression pred…
DYNA: Disease-Specific Language Model for Variant Pathogenicity
Huixin Zhan, Zijun Zhang
Clinical variant classification of pathogenic versus benign genetic variants remains a challenge in clinical genetics. Recently, the proposition of genomic foundation models has im…
Efficient and Scalable Fine-Tune of Language Models for Genome Understanding
Huixin Zhan, Ying Nian Wu, Zijun Zhang
Although DNA foundation models have advanced the understanding of genomes, they still face significant challenges in the limited scale and diversity of genomic data. This limitatio…
ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity
Huixin Zhan, Zijun Zhang
Clinical variant classification of pathogenic versus benign genetic variants remains a pivotal challenge in clinical genetics. Recently, the proposition of protein language models…