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cs.HC2024★ 3 cited
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
Hyo Jin Do, Rachel Ostrand, Justin D. Weisz +5
While humans increasingly rely on large language models (LLMs), they are susceptible to generating inaccurate or false information, also known as "hallucinations". Technical advanc…
cs.HC2023★ 10 cited
AutoDOViz: Human-Centered Automation for Decision Optimization
Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente +12
We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being…