Novice and expert users have different systematic preferences in task-oriented dialogues. However, whether catering to these preferences actually improves user ...
Modern large language models become multimodal, analyzing various data formats like text and images. While fine-tuning is effective for adapting these multimoda...
Despite recent progress in multilingual speech processing, African languages remain under-represented in both research and deployed systems, particularly when i...
In contemporary retail, the variety of products available (e.g. clothing, groceries, cosmetics, frozen goods) make it difficult to predict the demand, prevent s...
Program synthesis is the process of generating a computer program following a set of specifications, such as a set of input-output examples. It can be modeled a...
Knowledge-enhanced text generation aims to enhance the quality of generated text by utilizing internal or external knowledge sources. While language models have...
Gambling disorder is a complex behavioral addiction that is challenging to understand and address, with severe physical, psychological, and social consequences....
Chart-to-code generation is a critical task in automated data visualization, translating complex chart structures into executable programs. While recent Multi-m...
This work explores the challenge of building ``Machines that Can Remember'', framing long-term memory as the problem of efficient ultra-long context modeling. W...
Large-scale Vision Language Models (LVLMs) exhibit advanced capabilities in tasks that require visual information, including object detection. These capabilitie...
Mutation-based Fault Localization (MBFL) has been widely explored for automated software debugging, leveraging artificial mutants to identify faulty code entiti...
The content-oblivious model, introduced by Censor-Hillel, Cohen, Gelles, and Sel (PODC 2022; Distributed Computing 2023), captures an extremely weak form of com...
