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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 …
arXiv:2603.22913v1 Announce Type: new Abstract: To address the critical scarcity of high-quality, publicly available counseling dialogue datasets, we created Multilingual KokoroChat by translating KokoroChat, a …
arXiv:2603.22922v1 Announce Type: new Abstract: Existing dialogue systems rely on Query Suggestion (QS) to enhance user engagement. Recent efforts typically employ large language models with …
arXiv:2603.22966v1 Announce Type: new Abstract: Large language models (LLMs) inherently operate over a large generation space, yet conventional usage typically reports the most likely generation …
arXiv:2603.22977v1 Announce Type: new Abstract: Dari, the primary language of Afghanistan, is spoken by tens of millions of people yet remains largely absent from the …
arXiv:2603.22985v1 Announce Type: new Abstract: Current multimodal toxicity benchmarks typically use a single binary hatefulness label. This coarse approach conflates two fundamentally different characteristics of …
arXiv:2603.22999v1 Announce Type: new Abstract: Recent advances in visual language models have enabled autonomous agents for complex reasoning, tool use, and document understanding. However, existing …
arXiv:2603.23013v1 Announce Type: new Abstract: Production AI agents frequently receive user-specific queries that are highly repetitive, with up to 47\% being semantically similar to prior …
arXiv:2603.23047v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) fine-tuning has shown substantial improvements over vanilla RAG, yet most studies target document question answering and often …
arXiv:2603.23069v1 Announce Type: new Abstract: The task of authorship style transfer involves rewriting text in the style of a target author while preserving the meaning …
arXiv:2603.23091v1 Announce Type: new Abstract: While brain-aligned large language models (LLMs) have garnered attention for their potential as cognitive models and for potential for enhanced …
arXiv:2603.23136v1 Announce Type: new Abstract: Automated knowledge graph (KG) construction is essential for navigating the rapidly expanding body of scientific literature. However, existing approaches struggle …