3 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
Active Learning for Fine-Grained Sketch-Based Image Retrieval
Himanshu Thakur, Soumitri Chattopadhyay
The ability to retrieve a photo by mere free-hand sketching highlights the immense potential of Fine-grained sketch-based image retrieval (FG-SBIR). However, its rapid practical ad…
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…