arXiv:2608.13394v1 Announce Type: cross Abstract: 6G networks will not be serving as communication infrastructures only; rather, they are expected to…
Tag: AI
Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference
arXiv:2608.13426v1 Announce Type: cross Abstract: Transformer-based language models achieve strong performance but incur substantial inference cost due to…
Are You Sure You’re Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity
arXiv:2608.13430v1 Announce Type: cross Abstract: Instruction-tuned language models achieve strong performance across a range of generation tasks, but…
Deliberate Practice: Learning Robot Skills under a Budget
arXiv:2608.13415v1 Announce Type: cross Abstract: We consider the problem of autonomously learning robot skills under a limited practice budget for…
Constraining Output Space for SLM Narrow Automation Optimization
This article will kick off a series on narrow automation optimization for SLMs, and as the first entry will cover one of the more most useful techniques…
Algebraic Decomposition Theory for Transformer Length Generalization
arXiv:2608.13433v1 Announce Type: cross Abstract: Transformer-based language models are known to sometimes generalize to sequences longer than seen during…
Training AI Scientists to Replicate Research
arXiv:2608.13331v1 Announce Type: cross Abstract: The replicability of papers is a cornerstone of scientific knowledge, ensuring the reliability of…
Sign Language Video Synthesis via Loss-Guided Multi-Expert GANs
arXiv:2608.13368v1 Announce Type: cross Abstract: This preliminary technical report presents a framework for sign language video synthesis using a…
It’s How You Ask: Gender-Associated Linguistic Bias in LLMs
arXiv:2608.13328v1 Announce Type: cross Abstract: Professional communication is increasingly mediated by LLMs – but do these models serve all users…
Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services
arXiv:2608.13315v1 Announce Type: cross Abstract: We study a large language model (LLM) service in which a provider chooses a per-token price and a…