Papers by Som Sagar
ExpressivityBench: Can LLMs Communicate Implicitly? (2026.findings-eacl)
Copied to clipboard
Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake
| Challenge: | a new study evaluates the expressivity of large language models for communicating implicitly . authors: models can express tone, identity, and intent beyond literal meanings . phrasing and tone of a message can convey a number of topics beyond literal contexts - authors . |
| Approach: | They propose a framework to evaluate the expressivity of large language models . they use a social-linguistic grader to validate their models against human judgments . |
| Outcome: | The proposed framework quantifies how well LLM-generated text communicates target properties without explicit mention across nine tasks spanning emotion, identity, and tone. |