Customer-obsessed science
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February 07, 2024New approach enables sustainable machine learning for remote-sensing applications.
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January 19, 2024Attention-based representation of multi-image inputs improves performance on downstream vision-language tasks.
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January 17, 2024Representing facts using knowledge triplets rather than natural language enables finer-grained judgments.
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December 26, 2023Theoretical analysis and experiments show that clipped stochastic gradient descent (SGD) enables robust online statistical estimation.
January 17, 2024
Proposal topics include enhancements for dialogue, factual questioning and answering, text generation, document summarization, image generation, and more. The submission period is open now and closes on March 6.
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EACL 20242024Large language models can accumulate incorrect or outdated knowledge as the real world evolves. Compared to typical solutions such as retraining, retrieval augmented generation, model editing offers an effective yet low cost solution to address this issue. However, existing model editing algorithms employ manual selection of edit layers, which requires prior domain knowledge or expensive architecturespecific
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EACL 20242024Large language models (LLMs) have demonstrated impressive performance on a number of natural language processing tasks, such as question answering and text summarization. However, their performance on sequence labeling tasks, such as intent classification and slot filling (IC-SF), which is a central component in personal assistant systems, lags significantly behind discriminative models. Furthermore, there
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WSDM 20242024Anomaly detection on graphs focuses on identifying irregular patterns or anomalous nodes within graph-structured data, which deviate significantly from the norm. This domain gains paramount importance due to its wide applicability in various fields such as spam detection, anti-money laundering, and network security. In the application of anomaly detection on graphs, tackling the challenges posed by label
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January 25, 2024Amazon IIT–Bombay AI-ML Initiative seeks to advance artificial intelligence and machine learning research within speech, language, and multimodal-AI domains.
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January 04, 2024Program empowers students from diverse backgrounds to become industry leaders through scholarship, research, and career opportunities.
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January 03, 2024Researchers honored for their contributions to the scientific community in 2023.