arXiv:2606.03770v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have become integral to modern applications, yet their deployment remains challenging.…
arXiv:2604.24357v3 Announce Type: replace-cross Abstract: Discrete diffusion models admit many token orders, yet most systems rely on confidence-based decoding. Confidence…
arXiv:2608.21362v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) incur high prefill latency because key-value (KV) tensors must be…
arXiv:2608.18087v2 Announce Type: replace-cross Abstract: Existing subword tokenizers optimize statistical compression but ignore morphological structure, particularly the relationship between roots…
arXiv:2607.18970v3 Announce Type: replace-cross Abstract: Agent Skills have become persistent behavioral artifacts across independent AI agent systems. They combine natural-language…
arXiv:2608.19885v2 Announce Type: replace-cross Abstract: After the inputs X are known, how much additional information does the label Y carry…
arXiv:2608.20757v1 Announce Type: cross Abstract: We describe the PSK submission to the WMT 2026 Multilingual Instruction Shared Task. Our system…
arXiv:2608.20341v1 Announce Type: new Abstract: Frontier coding agents backed by large language models with context windows from hundreds of thousands…
arXiv:2608.20831v1 Announce Type: cross Abstract: Aspect-based sentiment analysis (ABSA) quadruple extraction requires jointly predicting target, aspect, opinion, and sentiment over…
