5 papers
XQDT: eXplainable and Quantitative Data-Text Alignment Metric with Feedback Signals
Kun Efimov-Zhang, Yifei Song, Claire Gardent
Evaluating data-text alignment remains challenging: existing metrics often provide limited explanations for the scores, while prompt-based LLM-as-Judge methods can be expensive and…
Cross-lingual Biography Enrichment via Claim Extraction and Alignment
Yifei Song, Ziyang Chen, Emil Sayilov +1
English Wikipedia is often treated as the default encyclopedic source, yet non-English Wikipedia editions can contain richer locally grounded information for long-tail figures. We…
Cross-Domain, Multi-Task Data-to-Text Generation without In-Domain Training Data
Yifei Song, Kun Efimov-Zhang, Claire Gardent
Structured data exists in many forms (tables, knowledge graphs, charts, and time series), and converting it into text may involve different generation tasks. However, most prior wo…
Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025
Zonghao Ying, Siyang Wu, Run Hao +44
Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks…
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning
Zhuan Shi, Yifei Song, Xiaoli Tang +2
Generative art using Diffusion models has achieved remarkable performance in image generation and text-to-image tasks. However, the increasing demand for training data in generativ…