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Found 3 papers, 1 papers with code
Data Contamination Through the Lens of Time
Recent claims about the impressive abilities of large language models (LLMs) are often supported by evaluating publicly available benchmarks.
Active Learning for Fine-Grained Sketch-Based Image Retrieval
The ability to retrieve a photo by mere free-hand sketching highlights the immense potential of Fine-grained sketch-based image retrieval (FG-SBIR).
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
Since large-scale retraining of these models from scratch is both time and compute-expensive, a variety of approaches have been previously proposed that de-bias a pre-trained model.
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