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Language, Bias & Human Preferences

Two earlier projects examine different sides of language model behavior: what models pick up from linguistic form, and how people respond to what models say.

The shared question

Language is never just a string of tokens. Negation can change what a sentence means; empathy and demographics can change which response a person prefers. These projects made me curious about how model behavior and human judgment meet, and about the care needed when evaluating both.

Papers

Investigating how negation and linguistic markers relate to bias in language models.

Studying variation in human preferences for LLM responses through empathy and demographics.