activity
20232026
most citedInformation Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning

Shiyu Yuan, Sourav Sanjukta Bhabesh, Zhe Wang +3

Vision Language Models (VLMs) demonstrate strong perceptual abilities but remain limited in tasks requiring analytical reasoning across multiple visual states, such as multi-image…

cs.LG2024

Learning Multimodal Latent Generative Models with Energy-Based Prior

Shiyu Yuan, Jiali Cui, Hanao Li +1

Multimodal generative models have recently gained significant attention for their ability to learn representations across various modalities, enhancing joint and cross-generation c…

cs.LG2024

Learning Multimodal Latent Space with EBM Prior and MCMC Inference

Shiyu Yuan, Carlo Lipizzi, Tian Han

Multimodal generative models are crucial for various applications. We propose an approach that combines an expressive energy-based model (EBM) prior with Markov Chain Monte Carlo (…

cs.CL2023

From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis

Shiyu Yuan, Jingda Yang, Sudhanshu Arya +2

Formal method-based analysis of the 5G Wireless Communication Protocol is crucial for identifying logical vulnerabilities and facilitating an all-encompassing security assessment,…

cs.CL2023★ 2 cited

Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches

Shiyu Yuan, Carlo Lipizzi

Information extraction (IE) plays very important role in natural language processing (NLP) and is fundamental to many NLP applications that used to extract structured information f…