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20232026
most citedMake Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS

7 citations · 19 across the 11 of their papers we have counts for

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cs.CL2023★ 6 cited

Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT

Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur +4

Large Language Models (LLMs) such as GPT-3.5, Bard, and Claude exhibit applicability across numerous tasks. One domain of interest is their use in algorithmic hiring, specifically…