Customer-obsessed science
Research areas
-
November 20, 20254 min readA new evaluation pipeline called FiSCo uncovers hidden biases and offers an assessment framework that evolves alongside language models.
-
October 2, 20253 min read
-
-
-
September 2, 20253 min read
Featured news
-
RecSys 20232023The Prime Video Homepage provides customers with several carousels to explore the diverse catalog. Each of these carousels is constructed around a certain theme. It’s not only important to compose the page with individual carousels relevant to the customer, but also balance different customer and business aspects. The Prime Video business positions itself as an entertainment hub with diverse content types
-
Advanced Methods and Applications with Deep Learning in Object Recognition2023Accurate human posture classification in images and videos is crucial for automated applications across various fields, including work safety, physical rehabilitation, sports training, or daily assisted living. Recently, multimodal learning methods, such as Contrastive Language-Image Pretraining (CLIP), have advanced significantly in jointly understanding images and text. This study aims to assess the effectiveness
-
WSDM 20242023Recent studies on pre-trained vision/language models have demonstrated the practical benefit of a new, promising solution-building paradigm in AI where models can be pre-trained on broad data describing a generic task space and then adapted successfully to solve a wide range of downstream tasks, even when training data is severely limited (e.g., in zero- or few-shot learning scenarios). Inspired by such
-
EMNLP 20232023Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields. However, LLMs are prone to hallucinate untruthful or nonsensical outputs that fail to meet user expectations in many real-world applications. Existing works for detecting hallucinations in LLMs either rely on external knowledge for reference retrieval or require sampling multiple responses
-
ACL Findings 20232023While impressive performance has been achieved on the task of Answer Sentence Selection (AS2) for English, the same does not hold for languages that lack large labeled datasets. In this work, we propose Cross-Lingual Knowledge Distillation (CLKD) from a strong English AS2 teacher as a method to train AS2 models for low-resource languages in the tasks without the need of labeled data for the target language
Collaborations
View allWhether you're a faculty member or student, there are number of ways you can engage with Amazon.
View all