Papers by Clara Lachenmaier
Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals distinct Multi-Turn Behavior in LLMs (2026.acl-long)
Copied to clipboard
| Challenge: | a lot of research aims to mitigate these problems by introducing specific computational solutions. |
| Approach: | They examine how large language models engage in the interactive process of repair in multi-turn dialogues around solvable and unsolvable math questions. |
| Outcome: | The models respond to user-initiated repair differently from one another . the models exhibit their own characteristic form of unreliability in the context of repair . |
Can LLMs Ground when they (Don’t) Know: A Study on Direct and Loaded Political Questions (2025.acl-long)
Copied to clipboard
| Challenge: | Using large language models, interlocutors can reach mutual understanding even when they do not possess perfect knowledge. |
| Approach: | They examine whether loaded questions lead LLMs to engage in active grounding and correct false user beliefs in connection to their level of knowledge and their political bias. |
| Outcome: | The proposed model can answer direct knowledge questions and loaded questions that presuppose misinformation, while ignoring false user beliefs. |