3 citations · 5 across the 3 of their papers we have counts for
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cs.CL2023★ 3 cited
Data Contamination Through the Lens of Time
Manley Roberts, Himanshu Thakur, Christine Herlihy +2
Recent claims about the impressive abilities of large language models (LLMs) are often supported by evaluating publicly available benchmarks. Since LLMs train on wide swaths of the…
cs.CL2023★ 2 cited
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu +2
Societal biases present in pre-trained large language models are a critical issue as these models have been shown to propagate biases in countless downstream applications, renderin…