arXiv:2507.06920v2 Announce Type: replace Abstract: Large language models (LLMs) have recently achieved notable success in code-generation benchmarks such as HumanEval...

arXiv:2507.07694v1 Announce Type: new Abstract: The attention mechanism is a core component of the Transformer architecture. Various methods have been...

arXiv:2507.07495v1 Announce Type: new Abstract: Recently, decomposing complex problems into simple subtasks–a crucial part of human-like natural planning–to solve the...

arXiv:2507.07151v1 Announce Type: cross Abstract: Despite the impressive capabilities of multimodal large language models (MLLMs) in vision-language tasks, they are...

arXiv:2507.06203v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, especially when guided by explicit chain-of-thought...

arXiv:2507.06249v1 Announce Type: cross Abstract: Recently, pre-trained models with phonetic supervision have demonstrated their advantages for crosslingual speech recognition in...

arXiv:2409.17946v4 Announce Type: replace-cross Abstract: Despite being widely applied due to their exceptional capabilities, Large Language Models (LLMs) have been...

arXiv:2502.16903v2 Announce Type: replace Abstract: Despite the growing interest in jailbreak methods as an effective red-teaming tool for building safe...

arXiv:2506.23921v2 Announce Type: replace Abstract: We often attribute human characteristics to large language models (LLMs) and claim that they “know”...