32 citations · 46 across the 9 of their papers we have counts for
4 papers · 1 filter
Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games
Chris Su, Harrison Li, Matheus Marques +3
Recent work reports that Large Reasoning Models (LRMs) undergo a collapse in performance on solving puzzles beyond certain perplexity thresholds. In subsequent discourse, questions…
The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
Harry Li, Gabriel Appleby, Kenneth Alperin +2
Knowledge graphs (KGs) are powerful data structures, but exploring them effectively remains difficult for even expert users. Large language models (LLMs) are increasingly used to a…
Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations
Ashley Suh, Kenneth Alperin, Harry Li +1
This position paper highlights a growing trend in Explainable AI (XAI) research where Large Language Models (LLMs) are used to translate outputs from explainability techniques, lik…
Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
Harry Li, Gabriel Appleby, Kenneth Alperin +2
High-stakes domains like cyber operations need responsible and trustworthy AI methods. While large language models (LLMs) are becoming increasingly popular in these domains, they s…