121 citations · 181 across the 19 of their papers we have counts for
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cs.AI2026
Mitigating LLM biases toward spurious social contexts using direct preference optimization
Hyunji Nam, Dorottya Demszky
LLMs are increasingly used for high-stakes decision-making, yet their sensitivity to spurious context can introduce harmful biases. This is a critical concern when models are deplo…
cs.AI2025
DiagramIR: An Automatic Pipeline for Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao +3
Large Language Models (LLMs) are increasingly being adopted as tools for learning; however, most tools remain text-only, limiting their usefulness for domains where visualizations…