Lang Li — accepted AI-conference papers

2025

MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems

Zifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang

NAACL 2025long

Multimodal Large Language Models (MLLMs) have demonstrated impressive abilities across various tasks, including visual question answering and chart comprehension, yet existing benchmarks for chart-related tasks fall short in capturing the complexity of real-world multi-chart scenarios. Current bench…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2022

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again

Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, You Chen, Lang Li, Huan Sun +1

EMNLP 2022finding

Large pre-trained language models (PLMs) such as GPT-3 have shown strong in-context learning capabilities, which are highly appealing for domains such as biomedicine that feature high and diverse demands of language technologies but also high data annotation costs. In this paper, we present the firs…

Cited by 162 Source ↗PDF ↗code ↗Scholar ↗