Honoured to receive the Best Paper Award at #INLG2026! 🎉🍾
Our survey, led by my student @tylerl404, reveals a striking gap between AI practitioners and the public: practitioners are more optimistic, yet nearly half still see AI’s societal impact as negative
@csmcr@inlgmeeting
Happy to announce that my paper with @chenghua_lin "Do as I Say, Not as You Do: Assessing Public Versus Practitioner Perspectives on the Development of Artificial Intelligence and Language Technologies" won Best Paper at @inlgmeeting! @sltcdt#NLP Paper: bit.ly/4iaeier
✨ Key Contributions
1️⃣ Defined Drivelology to probe LLMs' deep semantic understanding
2️⃣ Released DrivelHub (1200+ multilingual cases)
3️⃣ Designed 4 eval tasks on evaluating Drivelology
4️⃣ Found LLMs struggle with reasoning deep meaning
5️⃣ Open-sourced data & code
📄 Paper Summary
Introducing Drivelology: a new linguistic phenomenon we define as "nonsense with depth." We present a stress test with 1,200+ examples across 5 Drivelology types, revealing distinct failure modes across state-of-the-art LLMs.
LLMs meet Drivelology! 🤪
New paper introduces "nonsense with depth," a linguistic phenomenon testing LLMs' understanding of implicit meaning & cultural context
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