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arXiv:2603.22345v1 Announce Type: new Abstract: Multimodal emotion recognition in conversations (MERC) aims to identify and understand the emotions expressed by speakers during utterance interaction from …
arXiv:2603.22312v1 Announce Type: new Abstract: This paper computationally investigates whether thought requires a language-like format, as posited by the Language of Thought (LoT) hypothesis. We …
arXiv:2603.22306v1 Announce Type: new Abstract: Affective judgment in real interaction is rarely a purely local prediction problem. Emotional meaning often depends on prior trajectory, accumulated …
arXiv:2603.22755v1 Announce Type: new Abstract: Independently trained domain specialists can be fused post-hoc into a single model that outperforms any individual specialist, and the gain …
arXiv:2603.22765v1 Announce Type: new Abstract: Data scarcity remains a persistent challenge in low-resource domains. While existing data augmentation methods leverage the generative capabilities of large …
arXiv:2603.22799v1 Announce Type: new Abstract: The category of figurative language contains many varieties, some of which are non-compositional in nature. This type of phrase or …
arXiv:2603.22812v1 Announce Type: new Abstract: Large language models (LLMs) have achieved remarkable success in various natural language processing tasks, yet they remain prone to generating …
arXiv:2603.22816v1 Announce Type: new Abstract: Language models increasingly "show their work" by writing step-by-step reasoning before answering. But are these reasoning steps genuinely used, or …
arXiv:2603.22820v1 Announce Type: new Abstract: Tracking findings in longitudinal radiology reports is crucial for accurately identifying disease progression, and the time-consuming process would benefit from …
arXiv:2603.22837v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly utilised for social simulation and persona generation, necessitating an understanding of how they represent …
arXiv:2603.22854v1 Announce Type: new Abstract: Deep learning techniques for rumor detection typically utilize Graph Neural Networks (GNNs) to analyze post relations. These methods, however, falter …
arXiv:2603.22910v1 Announce Type: new Abstract: The increasing memory demand of the Key-Value (KV) cache poses a significant bottleneck for Large Language Models (LLMs) in long-context …
