arXiv:2605.04719v1 Announce Type: new
Abstract: Tool-integrated Text-to-SQL parsing has emerged as a promising paradigm, framing SQL generation as a sequential decision-making process interleaved with tool execution. However, existing reinforcement le…
arXiv:2605.04875v1 Announce Type: new
Abstract: Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave an early trace in the c…
arXiv:2506.00886v3 Announce Type: replace
Abstract: As large language models evolve into tool-augmented agents, a central question remains unresolved: when is external tool use actually justified? Existing agent frameworks typically treat tools as ord…
arXiv:2605.04885v1 Announce Type: new
Abstract: This paper compares a PyCaret AutoML branch and a CNN-BiLSTM branch for binary hate speech detection on Indonesian Twitter using the HS label from the corpus of Ibrohim and Budi. Both branches share the …
arXiv:2511.02230v4 Announce Type: replace-cross
Abstract: KV cache management is essential for efficient LLM inference. To maximize utilization, existing inference engines evict finished requests’ KV cache if new requests are waiting. This policy brea…
arXiv:2504.11101v4 Announce Type: cross
Abstract: Optical Character Recognition (OCR) is fundamental to Vision-Language Models (VLMs) and high-quality data generation for LLM training. Yet, despite progress in average OCR accuracy, state-of-the-art VL…
arXiv:2604.25370v2 Announce Type: replace
Abstract: The release of GPT-image-2 by OpenAI marks a watershed moment in AI-generated imagery: the boundary between photographic reality and synthetic content has never been more difficult to discern. We int…
arXiv:2602.03396v3 Announce Type: replace
Abstract: Proprietary large language models (LLMs) embody substantial economic value and are generally exposed only as black-box APIs, yet adversaries can still exploit their outputs to extract knowledge via d…
arXiv:2605.03314v2 Announce Type: replace
Abstract: In single-stream autoregressive interfaces, the same tokens both update the model state and constitute an irreversible public commitment. This coupling creates a silence tax: additional deliberation …
arXiv:2605.04208v1 Announce Type: new
Abstract: Large language models (LLMs) have demonstrated impressive multilingual capabilities for well-resourced languages, yet their performance on low-resource African languages remains poorly understood and lar…