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arXiv:2603.20732v1 Announce Type: new Abstract: Decoder-only language models can be adapted to diverse tasks through instruction finetuning, but the extent to which this generalizes at …
arXiv:2603.20781v1 Announce Type: new Abstract: With the rapid development of large language models (LLMs), more and more researchers have paid attention to information extraction based …
arXiv:2603.20795v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as knowledge bases, but keeping them up to date requires targeted knowledge editing …
arXiv:2603.20799v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards (RLVR) stimulates the thinking processes of large language models (LLMs), substantially enhancing their reasoning abilities …
arXiv:2603.20807v1 Announce Type: new Abstract: Benchmarks are the de facto standard for tracking progress in large language models (LLMs), yet static test sets can rapidly …
arXiv:2603.20843v1 Announce Type: new Abstract: Long-context language modeling is commonly framed as a scalability challenge of token-level attention, yet local-to-global information structuring remains largely implicit …
arXiv:2603.20851v1 Announce Type: new Abstract: ChatGPT has demonstrated remarkable capabilities on both poetry generation and translation, yet its ability to truly understand poetry remains unexplored. …
arXiv:2603.20854v1 Announce Type: new Abstract: Kazakh, a Turkic language spoken by over 22 million people, remains underserved by existing multilingual language models, which allocate minimal …
arXiv:2603.20884v1 Announce Type: new Abstract: The exponential growth of academic publications has led to a surge in papers of varying quality, increasing the cost of …
arXiv:2603.20895v1 Announce Type: new Abstract: LLMs often share comparable benchmark accuracies, but their complementary performance across task subsets suggests that an Oracle router--a theoretical selector …
arXiv:2603.20899v1 Announce Type: new Abstract: Large language models exhibit strong reasoning capabilities, yet often rely on shortcuts such as surface pattern matching and answer memorization …
arXiv:2603.20907v1 Announce Type: new Abstract: As users increasingly turn to LLMs for practical and personal advice, they become vulnerable to being subtly steered toward hidden …