4 papers
OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
Sahil Verma, Keegan Hines, Jeff Bilmes +4
The emerging capabilities of large language models (LLMs) have sparked concerns about their immediate potential for harmful misuse. The core approach to mitigate these concerns is…
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
Arnav M. Das, Gantavya Bhatt, Lilly Kumari +2
Retrieval augmentation, the practice of retrieving additional data from large auxiliary pools, has emerged as an effective technique for enhancing model performance in the low-data…
AXCEL: Automated eXplainable Consistency Evaluation using LLMs
P Aditya Sreekar, Sahil Verma, Suransh Chopra +3
Large Language Models (LLMs) are widely used in both industry and academia for various tasks, yet evaluating the consistency of generated text responses continues to be a challenge…
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
P Aditya Sreekar, Sahil Verma, Varun Madhavan +1
Amazon ships billions of packages to its customers annually within the United States. Shipping cost of these packages are used on the day of shipping (day 0) to estimate profitabil…