2 citations · 5 across the 12 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.CL2026
Cognitive Agent Compilation for Explicit Problem Solver Modeling
Hyeongdon Moon, Carolyn Rosé, John Stamper
Large language models (LLMs) are widely used for tutoring, feedback generation, and content creation, but their broad pretraining makes them hard to constrain and poor substitutes…
cs.CL2026
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
Manav Nitin Kapadnis, Lawanya Baghel, Atharva Naik +1
While Multimodal Large Language Models (MLLMs) perform strongly on single-turn chart generation, their ability to support real-world exploratory data analysis remains underexplored…