The paper introduces VākQA, a benchmark for Telugu spoken factoid question answering, consisting of 2,001 question-answer pairs with speech audio, transcriptions, and verified answers. It evaluates evaluation methods against human judgments and tests models across different modalities and domains, highlighting challenges like cultural specificity loss and ASR-MT errors.
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This work provides a new benchmark for spoken question answering in Telugu, helping to advance research in low-resource languages and highlighting challenges in speech processing and translation.
LimiX-2 is a new model in the LimiX family that uses the Contextual Mechanism Networks (CMNs) paradigm, pretrained with Context-Conditional Masked Modeling (CCMM). It focuses on learning joint representations of data generation processes rather than target-centric prediction, showing superior performance on tabular data benchmarks and promoting causal awareness.
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3 days agoDaily PapersLynnReal-Omni is a native multimodal video generation framework that combines text-to-video, image-conditioned generation, and structural control into a single model. It includes a 32B shared multimodal diffusion transformer and a 27B Flash version for real-time rendering, with a data pipeline and evaluation method designed for video generation tasks.
4 days agoDaily PapersThe paper introduces ScienceIDE, a framework that transforms scientific code repositories into programmable environments for training scientific agents. These environments enable task generation, execution, and verification, supporting supervised fine-tuning and reinforcement learning. The approach demonstrates improvements in scientific code repair and general-purpose benchmarks.
2 days ago