January 2026

Continual learning (CL) in vision-language models (VLMs) faces significant challenges in improving task adaptation and avoiding catastrophic forgetting. Existing methods usually have heavy inference burden or rely on external knowledge, while Low-Rank Adaptation (LoRA) has shown potential in reducing these issues by enabling parameter-efficient tuning. However, considering directly using LoRA to alleviate the catastrophic forgetting problem is non-trivial, we introduce a novel framework that restructures a single LoRA module as a decomposable Rank-1 Expert Pool. Our method learns […]

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We study offline reinforcement learning of style-conditioned policies using explicit style supervision via subtrajectory labeling functions. In this setting, aligning style with high task performance is particularly challenging due to distribution shift and inherent conflicts between style and reward. Existing methods, despite introducing numerous definitions of style, often fail to reconcile these objectives effectively. To address these challenges, we propose a unified definition of behavior style and instantiate it into a practical framework. Building on this, we introduce […]

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Large-scale Electronic Health Record (EHR) databases have become indispensable in supporting clinical decision-making through data-driven treatment recommendations. However, existing medication recommender methods often struggle with a user (i.e., patient) cold-start problem, where recommendations for new patients are usually unreliable due to the lack of sufficient prescription history for patient profiling. While prior studies have utilized medical knowledge graphs to connect medication concepts through pharmacological or chemical relationships, these methods primarily focus on mitigating the item cold-start issue and […]

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Hey everyone , I’m working on the Farmer Training Adoption Challenge , I’ve hit a bit of a roadblock with optimizing my model performance. Current Public Score: Current score : 0.788265742 Target ROC-AUC: 0.968720425 Target Log Loss: ~0.16254811 I want to improve both classification ranking (ROC-AUC) and probability calibration (Log Loss), but I’m not quite sure which direction to take beyond my current approach. What I’ve Tried So Far Models: LightGBM CatBoost XGBoost Simple stacking/ensembling Feature Engineering: TF-IDF […]

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Victoria, Seychelles, January 29, 2026 MEXC, the world’s fastest-growing digital asset exchange and a pioneer of true zero-fee trading, launched a limited-time MEXC Earn event to celebrate the listing of USAT, providing users with the opportunity to share 300,000 USAT and earn up to 300% APR. USAT is Tether’s first US-regulated stablecoin, designed to comply with the GENIUS Act, which was signed into law in July 2025. Each USAT token maintains a 1:1 peg with the US dollar, […]

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For many large companies, the most useful form of AI right now has little to do with writing emails or answering questions. At PepsiCo, AI is being tested in places where mistakes are costly and changes are hard to undo — factory layouts, production lines, and physical operations. That shift is visible in how PepsiCo is using AI and digital twins to model and adjust its manufacturing facilities before making changes in the real world. Rather than experimenting […]

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The artificial intelligence industry’s pivot toward agentic AI – systems capable of autonomously executing multi-step tasks – has dominated technology discussions in recent months. But while Western firms focus on foundational models and cross-platform interoperability, China’s technology giants are racing to dominate through commerce integration, a divergence that could reshape how enterprises deploy autonomous systems globally. Alibaba, Tencent and ByteDance have rapidly upgraded their AI platforms to support agentic commerce, marking a pivot from conversational AI tools to […]

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