Can we use those differences to effectively and interpretably detect LLM-generated argumentative content?
Turns out we can! Linguistic and argumentative “fingerprints” of human written and model-generated arguments are linearly separable!
Can we use those differences to effectively and interpretably detect LLM-generated argumentative content?
Turns out we can! Linguistic and argumentative “fingerprints” of human written and model-generated arguments are linearly separable!
The results of our #EMNLP2025 paper suggest so!
@esradonmez.bsky.social and I will present this work in Poster Session 1, 11:00-12:30 on 5th Nov, Hall C3
🧵👇
aclanthology.org/2025.emnlp-m...
The results of our #EMNLP2025 paper suggest so!
@esradonmez.bsky.social and I will present this work in Poster Session 1, 11:00-12:30 on 5th Nov, Hall C3
🧵👇
aclanthology.org/2025.emnlp-m...