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arXiv:2510.12121v1 Announce Type: cross Abstract: Precise attribute intensity control–generating Large Language Model (LLM) outputs with specific, user-defined attribute intensities–is crucial...
arXiv:2503.21080v5 Announce Type: replace Abstract: The emergence of autonomous Large Language Model (LLM) agents has created a new ecosystem of...
arXiv:2510.10539v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly applied in sensitive domains such as medicine and...
arXiv:2510.08482v2 Announce Type: replace-cross Abstract: Iconicity, the resemblance between linguistic form and meaning, is pervasive in signed languages, offering a...
arXiv:2510.10560v1 Announce Type: new Abstract: Cross-attention transformers and other multimodal vision-language models excel at grounding and generation; however, their extensive,...
arXiv:2505.23703v4 Announce Type: replace-cross Abstract: Enhancing the mathematical reasoning capabilities of LLMs has garnered significant attention in both the mathematical...
arXiv:2509.15888v3 Announce Type: replace Abstract: Adapting billion-parameter language models to a downstream task is still costly, even with parameter-efficient fine-tuning...
arXiv:2407.19638v2 Announce Type: replace Abstract: This study investigates the efficacy of Large Language Models (LLMs) in causal discovery. Using newly...
arXiv:2510.09528v1 Announce Type: new Abstract: Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR), yet they remain sensitive to...

