Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Belief or Circuitry? Causal Evidence for In-Context Graph Learning
Katharine Kowalyshyn, Timothy Duggan, Daniel Little +1
How do LLMs learn in-context? Is it by pattern-matching recent tokens, or by inferring latent structure? We probe this question using a toy graph random-walk across two competing g…
cs.AI2026
Are you with me? A Framework for Detecting Mental Model Discrepancies in Task-Based Team Dialogues
Katharine Kowalyshyn, Matthias Scheutz
Humans typically use natural language to update teammates on task states. Since not all updates are communicated, discrepancies arise between the team members' mental models that n…