…unified models have demonstrated strong capability in instruction-grounded video synthesis , but integrating a large high-fidelity generator into the unified training loop is computationally prohibitive, limiting achievable visual quality. We therefore…
…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…
…As a result, IR models trained on these datasets show limited generalization in real-world scenarios. In this work, we propose Generative Ground Truth (GGT) by using generative multimodal foundation models (MFMs…
…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…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Building capable visual web agents requires long-horizon reasoning, precise grounding, and robust interaction with dynamic real-world websites. Despite rapid progress, the strongest…
…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…