Evidence synthesis methods, such as systematic reviews (SR), require research teams to find, select, evaluate, and synthesize all available evidence to answer a specific research question in a reproducible and transparent, bias-reduced manner. Early in the process, teams must screen all unique titles and abstracts gath...
Under token budgets, memory systems for Large Language Models (LLMs) select historical information before receiving a query (query-agnostic selection) or after receiving it (query-aware selection). To isolate the value of knowing the query, we idealize the continuous text of each history as a sequence of fixed chunks a...
Hao Fu· Zenodo (CERN European Organi...· 0 citations
Claims that artificial intelligence (AI) evolves are mostly argued by analogy. Open model hubs record which models were built from which. We applied the Price equation, which splits a change in a population's mean trait into selection and transmission terms, to two genealogies of open-weight language models. Among 1,27...
Brendan Barlow· Zenodo (CERN European Organi...· 0 citations
Leveraging auxiliary textual data can help with user profiling and item characterization in recommender systems (RSs). However, incomplete user and item descriptions limit the potential of textual information. To this end, we propose a graph-aware convolutional large language model (LLM) method, eliciting LLMs to summa...
Ying-Peng Du, Ziteng Wang, Zhu Sun et al.· ACM Transactions on Informat...· 0 citations
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LLMs (Large Language Models) are increasingly integrated into medical workflows to provide decision-making support, for example as Question Answering (QA) systems. However, in medical context, privacy requirements and resource constraints require the use of local and small (1B-parameter) LLMs. 1B-parameter LLMs are hig...
S. Wielinga, C. Maathuis, Natasha Alechina· Proceedings of the AAAI/ACM...· 0 citations
This master manuscript (Monograph 11 / Addendum G-2, codenamed "Willow-1") establishes the "Topological Invariance of Sanctuary" and formalizes "The Dual-Pillar Resonance Theorem" (||_11) within non-self-adjoint operator mechanics. We bridge information thermodynamics across physical, neural, and quantum computational...
Emerald Research Group· Zenodo (CERN European Organi...· 0 citations
For over a century, evolutionary anthropology and history have operated under an unexamined teleological assumption: that the Neolithic transition to agriculture represented an objective intellectual breakthrough, and that the ensuing emergence of permanent settlements, defensive architecture, rigid social hierarchies,...
Filip Roth· Zenodo (CERN European Organi...· 0 citations
Emotion regulation is a key construct in mental health, yet existing measures differ in conceptual coverage, with some focusing on specific strategies or regulatory difficulties rather than broader cognitive, behavioral, and contextual regulation processes. This study aimed to develop an Emotion Regulation Scale (ERS)...
Iman Aly Almohammadi, Malak Ali Alzahrani· BMC Psychology· 0 citations
Large language models (LLMs) are rapidly assuming an intermediary role in housing search through the integration of listing platforms within conversational interfaces, mediating access to information, search, and recommendations within urban settings. We expand on prior work on racial steering in LLMs by conducting a b...
Hana Samad, Trung Lam, Christoph Mügge-Durum et al.· Proceedings of the AAAI/ACM...· 0 citations
The growing accessibility of Large Language Models via conversational interfaces capable of responding to users’ questions by drawing on, synthesizing, and citing information from the web (i.e., Generative Search Engines) has simpli- fied the information-seeking process for users. However, with the proliferation of AI-...
Mowafak Allaham, Nicholas A. Diakopoulos· Proceedings of the AAAI/ACM...· 0 citations
AI CLOSED-LOOP QUANTUM-NANO FABRICATION AND VERIFICATION AT THE LIMITPhysical Observation × Bounded Decision × Verified Closure This research monograph develops an exploratory engineering architecture for the use of artificial intelligence in nanofabrication workflows where physical evidence, authorization, quality ver...
AI-generated summaries and reports are increasingly used in high-stakes settings, like policing, despite considerable evidence that AI often generates misleading or inaccurate information. This research asked: do errors in AI-generated summaries distort human memory? To answer this question, we adopted two methodologic...
Mattea Sim, Yael Eiger, Tadayoshi Kohno· Proceedings of the AAAI/ACM...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
