· ai
[Paper] Scaling HuBERT for African Languages: From Base to Large and XL
Despite recent progress in multilingual speech processing, African languages remain under-represented in both research and deployed systems, particularly when i...
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- · ai
[Paper] Agentic AI Framework for Smart Inventory Replenishment
In contemporary retail, the variety of products available (e.g. clothing, groceries, cosmetics, frozen goods) make it difficult to predict the demand, prevent s...
- · ai
[Paper] Functional Program Synthesis with Higher-Order Functions and Recursion Schemes
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...
- · ai
[Paper] Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach
Knowledge-enhanced text generation aims to enhance the quality of generated text by utilizing internal or external knowledge sources. While language models have...
- · ai
[Paper] Tackling a Challenging Corpus for Early Detection of Gambling Disorder: UNSL at MentalRiskES 2025
Gambling disorder is a complex behavioral addiction that is challenging to understand and address, with severe physical, psychological, and social consequences....
- · software
[Paper] Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing
Chart-to-code generation is a critical task in automated data visualization, translating complex chart structures into executable programs. While recent Multi-m...
- · ai
[Paper] Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
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...
- · ai
[Paper] Toward Automatic Safe Driving Instruction: A Large-Scale Vision Language Model Approach
Large-scale Vision Language Models (LVLMs) exhibit advanced capabilities in tasks that require visual information, including object detection. These capabilitie...
- · software
[Paper] FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation
Mutation-based Fault Localization (MBFL) has been widely explored for automated software debugging, leveraging artificial mutants to identify faulty code entiti...
- · devops
[Paper] Beyond 2-Edge-Connectivity: Algorithms and Impossibility for Content-Oblivious Leader Election
The content-oblivious model, introduced by Censor-Hillel, Cohen, Gelles, and Sel (PODC 2022; Distributed Computing 2023), captures an extremely weak form of com...
- · ai
[Paper] Closing the Generalization Gap in Parameter-efficient Federated Edge Learning
Federated edge learning (FEEL) provides a promising foundation for edge artificial intelligence (AI) by enabling collaborative model training while preserving d...
- · devops
[Paper] RetryGuard: Preventing Self-Inflicted Retry Storms in Cloud Microservices Applications
Modern cloud applications are built on independent, diverse microservices, offering scalability, flexibility, and usage-based billing. However, the structural d...