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arXiv:2506.23508v3 Announce Type: replace Abstract: Post-training algorithms such as Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT) are widely used to...
arXiv:2511.22333v2 Announce Type: replace-cross Abstract: LLM serving is increasingly dominated by decode attention, which is a memory-bound operation due to...
arXiv:2512.14306v1 Announce Type: new Abstract: This paper investigates the ability of Large Language Models (LLMs), specifically GPT-3.5-turbo (GPT), to form...
arXiv:2512.12885v1 Announce Type: cross Abstract: Automated road sign recognition is a critical task for intelligent transportation systems, but traditional deep...
arXiv:2512.13154v1 Announce Type: cross Abstract: Conversational agents often encounter ambiguous user requests, requiring an effective clarification to successfully complete tasks....
arXiv:2509.21320v3 Announce Type: replace Abstract: We present a scientific reasoning foundation model that aligns natural language with heterogeneous scientific representations....
arXiv:2510.17904v2 Announce Type: replace-cross Abstract: The proficiency of Large Language Models (LLMs) in processing structured data and adhering to syntactic...
arXiv:2512.12868v1 Announce Type: new Abstract: Large language models (LLMs) excel on multiple-choice clinical diagnosis benchmarks, yet it is unclear how...
arXiv:2507.05578v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of tasks, yet...




