arXiv Artificial IntelligenceAll for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs
arXiv:2609.06161v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable…
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arXiv Artificial IntelligencearXiv:2609.06161v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable…
arXiv Artificial IntelligencearXiv:2609.06157v1 Announce Type: cross Abstract: 3D Gaussian splatting (3DGS) represents scenes with…
arXiv Artificial IntelligencearXiv:2609.06155v1 Announce Type: cross Abstract: Neural models, including dense retrievers, have been widely…
arXiv Artificial IntelligencearXiv:2609.06149v1 Announce Type: cross Abstract: Script-based malware remains a prevalent attack technique…
arXiv Artificial IntelligencearXiv:2609.06147v1 Announce Type: cross Abstract: Ask a language model the same question about the same…
arXiv Artificial IntelligencearXiv:2609.06127v1 Announce Type: cross Abstract: Retrieval-augmented generation is usually formulated as a…
arXiv Artificial IntelligencearXiv:2609.06100v1 Announce Type: cross Abstract: Verifiable outcome rewards guide language-model…
arXiv Artificial IntelligencearXiv:2609.06095v1 Announce Type: cross Abstract: Motivation: Undergraduate computing students increasingly…
arXiv Artificial IntelligencearXiv:2609.06085v1 Announce Type: cross Abstract: Understanding the joint dynamics of prices and trades is…
arXiv Artificial IntelligencearXiv:2609.06080v1 Announce Type: cross Abstract: Deeply phenotyped cohorts combine clinical, imaging…
arXiv Artificial IntelligencearXiv:2609.06073v1 Announce Type: cross Abstract: Federated fine-tuning adapts large language models (LLMs)…
arXiv Artificial IntelligencearXiv:2609.06072v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) of…