research

Research on social pragmatics, humor, and human–AI interaction.

My research focuses on how language models interpret social meaning and how people create, communicate, and participate alongside AI systems. Here are two recent papers.

Figure 1 from You Really Didn't Get That?: three real Chinese online comments with their contextual pragmatic interpretation questions

EMNLP 2026 · Main Conference · Oral

You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments

Can a language model tell what a short, playful comment is doing in an online conversation? We built 4,735 diagnostic questions from real Chinese social media interactions. Across eight models, average accuracy was 68.7%, compared with 90.8% for human readers.

Figure 1 from Multi-Agent Comedy Club: host, performers, critics, audience, vector database memory and human annotation

Findings of ACL 2026

Multi-Agent Comedy Club: Investigating Community Discussion Effects on LLM Humor Generation

How does comedy change when AI writers work in a community, responding to other performers and audience feedback? We investigate how multi-agent discussion shapes humor writing, including its social and creative qualities.