zero-shot inference

2 papers across 2 sessions

Poster Session 1

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

In-Context Learning of Stochastic Differential Equations with Foundation Inference Models

#4100 · Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ali Ojeda Marin, Ramsés J. Sánchez

We introduce a framework for in-context (zero-shot) inference/estimation of drift and diffusion functions underlying SDEs from empirical data of different dimensionalities.

Poster Session 4

1 paper

Thursday, December 4, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs

#3403 · Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S Yu, Ming Zhang

This paper tackles the problem of zero-shot inference on text-attributed graphs, and proposes a novel method that uses bundles to query LLMs and supervise GNNs.