· ai
[Paper] MANTA: Physics-Informed Generalized Underwater Object Tracking
Underwater object tracking is challenging due to wavelength dependent attenuation and scattering, which severely distort appearance across depths and water cond...
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[Paper] LFM2 Technical Report
We present LFM2, a family of Liquid Foundation Models designed for efficient on-device deployment and strong task capabilities. Using hardware-in-the-loop archi...
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[Paper] Quantized-Tinyllava: a new multimodal foundation model enables efficient split learning
Split learning is well known as a method for resolving data privacy concerns by training a model on distributed devices, thereby avoiding data sharing that rais...
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[Paper] MegaChat: A Synthetic Persian Q&A Dataset for High-Quality Sales Chatbot Evaluation
Small and medium-sized enterprises (SMEs) in Iran increasingly leverage Telegram for sales, where real-time engagement is essential for conversion. However, dev...
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[Paper] Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization
Direct Preference Optimization (DPO) is a widely used reinforcement learning from human feedback (RLHF) method across various domains. Recent research has incre...
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[Paper] Learning-Augmented Online Bipartite Matching in the Random Arrival Order Model
We study the online unweighted bipartite matching problem in the random arrival order model, with $n$ offline and $n$ online vertices, in the learning-augmented...
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[Paper] Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast Reporting
We present the Hierarchical AI-Meteorologist, an LLM-agent system that generates explainable weather reports using a hierarchical forecast reasoning and weather...
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[Paper] VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction
Unifying multimodal understanding, generation and reconstruction representation in a single tokenizer remains a key challenge in building unified models. Previo...
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[Paper] Is Passive Expertise-Based Personalization Enough? A Case Study in AI-Assisted Test-Taking
Novice and expert users have different systematic preferences in task-oriented dialogues. However, whether catering to these preferences actually improves user ...
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[Paper] Optimizing Multimodal Language Models through Attention-based Interpretability
Modern large language models become multimodal, analyzing various data formats like text and images. While fine-tuning is effective for adapting these multimoda...
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[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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[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...