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IBM has quietly built a strong presence in the open-source AI ecosystem, and its latest release shows why it shouldn’t...
arXiv:2509.09631v1 Announce Type: cross Abstract: Zero-shot Text-to-Speech (TTS) aims to synthesize high-quality speech that mimics the voice of an unseen...
arXiv:2509.09524v1 Announce Type: new Abstract: This system paper presents the DeMeVa team’s approaches to the third edition of the Learning...
arXiv:2501.02348v2 Announce Type: replace Abstract: Complex problem-solving requires cognitive flexibility–the capacity to entertain multiple perspectives while preserving their distinctiveness. This...
arXiv:2506.14755v2 Announce Type: replace-cross Abstract: Large Reasoning Models (LRMs) have achieved remarkable success, yet they often suffer from producing unnecessary...
arXiv:2509.09196v1 Announce Type: new Abstract: Contextual biasing improves rare word recognition of ASR models by prioritizing the output of rare...

Table of contents Why was a new multilingual encoder needed? Understanding the architecture of mmBERT What training data and phases...
arXiv:2509.08803v1 Announce Type: cross Abstract: The rise of misinformation underscores the need for scalable and reliable fact-checking solutions. Large language...
arXiv:2509.08753v1 Announce Type: new Abstract: We introduce Delayed Streams Modeling (DSM), a flexible formulation for streaming, multimodal sequence-to-sequence learning. Sequence-to-sequence...









