2 papers
cs.CL2026
ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation
Jesus-German Ortiz-Barajas, Jonathan Tonglet, Vivek Gupta +1
Multimodal large language models (MLLMs) are increasingly used to automate chart generation from data tables, improving analysis and reporting efficiency while introducing new misu…
cs.CL2025
Statement-Tuning Enables Efficient Cross-lingual Generalization in Encoder-only Models
Ahmed Elshabrawy, Thanh-Nhi Nguyen, Yeeun Kang +8
Large Language Models (LLMs) excel in zero-shot and few-shot tasks, but achieving similar performance with encoder-only models like BERT and RoBERTa has been challenging due to the…