arXiv:2602.07374v2 Announce Type: replace
Abstract: Large language models (LLMs) achieve remarkable performance but demand substantial computational resources, limiting deployment on edge devices and resource-constrained environments. We present Terna…
arXiv:2603.26544v1 Announce Type: new
Abstract: Background: The identification of optimal signal detection methods is hindered by the lack of reliable reference datasets. Existing datasets do not capture when adverse events (AEs) are officially recogn…
arXiv:2601.19933v5 Announce Type: replace
Abstract: Large language models exhibit a systematic tendency toward early semantic commitment: given ambiguous input, they collapse multiple valid interpretations into a single response before sufficient cont…
arXiv:2603.26539v1 Announce Type: new
Abstract: How does the extent to which a model is open or closed impact the scientific inferences that can be drawn from research that involves it? In this paper, we analyze how restrictions on information about m…
arXiv:2601.19302v2 Announce Type: replace
Abstract: LLMs encode vast mathematical knowledge including governing equations from pretraining on equation-rich corpora, yet existing prompting methods, including Chain-of-Thought (CoT) and Program-of-Though…
arXiv:2603.26516v1 Announce Type: new
Abstract: As Large Language Models (LLMs) expand across multilingual domains, evaluating their performance in under-represented languages becomes increasingly important. European Portuguese (pt-PT) is particularly…
arXiv:2601.11214v4 Announce Type: replace
Abstract: We present T$^\star$, a simple TraceRL-based training curriculum for progressive block-size scaling in masked diffusion language models (MDMs). Starting from an AR-initialized small-block MDM, T$^\st…
arXiv:2603.26515v1 Announce Type: new
Abstract: Despite recent advances, efficient and robust turn-taking detection remains a significant challenge in industrial-grade Voice AI agent deployments. Many existing systems rely solely on acoustic or semant…
arXiv:2512.16378v3 Announce Type: replace
Abstract: As Large Language Models (LLMs) expand beyond text, integrating speech as a native modality has given rise to SpeechLLMs, which directly process spoken language and enable speech-to-text translation …
arXiv:2603.26511v1 Announce Type: new
Abstract: Despite rapid progress in open large language models (LLMs), European Portuguese (pt-PT) remains underrepresented in both training data and native evaluation, with machine-translated benchmarks likely mi…