28 citations · 30 across the 7 of their papers we have counts for
7 papers
Attention-Guided Flow-Matching for Sparse 3D Geological Generation
Zhixiang Lu, Mengqi Han, Peixin Guo +4
Constructing high-resolution 3D geological models from sparse 1D borehole and 2D surface data is a highly ill-posed inverse problem. Traditional heuristic and implicit modeling met…
Antidistillation Fingerprinting
Yixuan Even Xu, John Kirchenbauer, Yash Savani +5
Model distillation enables efficient emulation of frontier large language models (LLMs), creating a need for robust mechanisms to detect when a third-party student model has traine…
AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting
Jibang Wu, Chenghao Yang, Yi Wu +5
This paper develops an agentic framework that employs large language models (LLMs) for grounded persuasive language generation in automated copywriting, with real estate marketing…
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages
Sameer Jain, Sedrick Scott Keh, Shova Chettri +8
Environmental conservation organizations routinely monitor news content on conservation in protected areas to maintain situational awareness of developments that can have an enviro…
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation
Qiaosong Qi, Le Zhuo, Aixi Zhang +4
When hearing music, it is natural for people to dance to its rhythm. Automatic dance generation, however, is a challenging task due to the physical constraints of human motion and…
Concadia: Towards Image-Based Text Generation with a Purpose
Elisa Kreiss, Fei Fang, Noah D. Goodman +1
Current deep learning models often achieve excellent results on benchmark image-to-text datasets but fail to generate texts that are useful in practice. We argue that to close this…
Tractable Graph Matching via Soft Seeding
Fei Fang, Daniel L. Sussman, Vince Lyzinski
The graph matching problem aims to discover a latent correspondence between the vertex sets of two observed graphs. This problem has proven to be quite challenging, with few satisf…