…On-device deployment is in turn constrained by limited computation and memory. No single endpoint can deliver high-quality service across this spectrum. This article focuses on collaborative intelligence , a paradigm in…
…when sequential updates enable capability transfer and when they cause catastrophic forgetting . Existing methods mitigate forgetting through sequential fine-tuning , replay, regularization, or model merging , but offer limited criteria for determining when…
…AI-generated summary Large Language Models are being increasingly deployed as the decision-making core of autonomous agents capable of effecting change in external environments. Yet, in conversational benchmarks, which simulate real…
…that addresses limitations of existing datasets by providing contamination-limited, multitask evaluation across text-to-code, code-to-text, and code-to-code retrieval tasks with fine-tuned reranking capabilities. AI-generated…
…AI-generated summary Large language model agents increasingly rely on external skills to solve complex tasks, where skills act as modular units that extend their capabilities beyond what parametric memory alone supports…
…under incomplete information and limited temporal context of the underlying patient state, and may therefore be suboptimal, making it diff icu lt to assess the true reasoning capabilities of AI systems. We…
…Hao Wang , , , , , , Abstract X2SAM is a unified multimodal model that extends segmentation capabilities from images to videos while supporting conversational instructions and visual prompts for both modalities. AI-generated summary Multimodal Large…
…To better understand the political rhetoric from various movements, ranging from left to right, we propose a transformer-based model capable of projecting the political orientation of a text on a continuous…
…AI-generated summary While GUI agents have shown impressive capabilities in common computer-use tasks such as OSWorld, current benchmarks mainly focus on isolated and single-application tasks. This overlooks a critical…
…AI-generated summary The continued improvements in language model capability have unlocked their widespread use as drivers of autonomous agents, for example in coding or computer use applications. However, the core of…