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2,533 papers
Abstract This article argues that the legal profession’s existing duties of competence, supervision, candour, confidentiality, and procedural fairness provide the necessary framework for integrating generative AI into legal practice, without requiring a wholly new regulatory paradigm. Narrowing its focus to transforme...
Context window capacity remains a central bottleneck for large language models (LLMs): enlarging the window does not guarantee that a model attends to the right information, and empirical work has shown systematic degradation when relevant content sits in the middle of a long context. Biological cognition faces an anal...
Context window capacity remains a central bottleneck for large language models (LLMs): enlarging the window does not guarantee that a model attends to the right information, and empirical work has shown systematic degradation when relevant content sits in the middle of a long context. Biological cognition faces an anal...
New evidence from large language models and animal communication challenges human linguistic exceptionalism. Drawing on historical parallels between linguistics and evolutionary biology, this comment argues that new evidence from non-human linguistic behavior could transform humanity's relationship with the natural wor...
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This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23071859. Authors of the review Name: Stephanie R. U, ORCID: https://orcid.org/0000-0002-6220-4661 Bio: Stephanie U is a PhD candidate whose work investigates the role of circadian...
Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), has introduced new forms of interaction between humans and language technologies beyond automated text generation. This study aims to examine how generative AI transforms human language processes, cognitive activities, and meaning const...
Abstract This research involved co-creating a systematic review analysis alongside the world’s smartest humanoid robot, Ami. The work involved a human-humanoid collaboration in understanding driving under the influence of drugs’ (DUIDs’) prevalence, implications and chemical analysis. The systematic review was conducte...
Observing what a large language model computes during autoregressive inference—online and without training probes—remains difficult. We introduce Lingtai, a training-free concept telemetry layer: at each generation step, residual states are projected onto a domain-specific bank of named concept anchors, constructed wit...
Observing what a large language model computes during autoregressive inference—online and without training probes—remains difficult. We introduce Lingtai, a training-free concept telemetry layer: at each generation step, residual states are projected onto a domain-specific bank of named concept anchors, constructed wit...
FAIR PERSONALIZATION & EXTERNAL VALIDITY AT THE LIMITCalibration Privilege, Exclusion Risk, Subgroup Uncertainty, Cross-Site Transfer, Device Heterogeneity, and Equitable Adaptive BCI Feng Cheng-en (33) x Starli Does personalization help people differently - or does it simply make access easier for the people who were...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23071859. Authors of the review Name: Stephanie R. U, ORCID: https://orcid.org/0000-0002-6220-4661 Bio: Stephanie U is a PhD candidate whose work investigates the role of circadian...
ObjectiveThis research is aimed at solving the problems exposed by AIGC technology in the field of footwear design, such as generation homogeneity, low process feasibility, and market demand disconnection. A dedicated AIGC generation model and an intelligent design methodology for footwear design are built, which reali...
A Blog post by IBM Granite on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.
A Blog post by Liquid AI on Hugging Face
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
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