This thesis asks how information enters prices at intraday horizons, and it approaches the question through three essays that move progressively from the reaction of prices to news toward the mechanism by which that reaction is produced. The first essay studies the intraday processing of firm-specific ESG news for Dow...
Tesfaye Salarin· Institutional Research Infor...· 0 citations
Archived source functions, recorded GPT-4o transformations, paired static metrics and scripts for remeasurement of 910 analysed pairs and a 100-function prompt ablation. Behavioural equivalence was not tested. This deposit contains research data and analysis code; the unpublished manuscript is not included. The manuscr...
Sura Salah, Sama Hayder, Zaher Fadhil Raham· Zenodo (CERN European Organi...· 0 citations
Abstract Extracting and formatting data is among the most tedious elements of assessing environmental chemical occurrence and exposure. We present a toolkit (eData) to streamline this process, generate FAIR data, and maximise traceability and transparency: a FAIR Data Reporting Format (DRF) that provides data structure...
Samuel A. Welch, Knut Erik Tollefsen· Integrated Environmental Ass...· 0 citations
Analysis plan (registered after data collection), preregistration of an ongoing governance experiment, and experimental materials. Anonymous during peer review.
Jing Gao· Open Science Framework· 0 citations
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Machine Reading Comprehension (MRC) has become a key benchmark for evaluating natural language processing systems, and multiple-choice question answering is widely adopted for assessing reasoning, comprehension, and commonsense inference capabilities. However, traditional embedding-based approaches often struggle with...
Wen‐Hao Lee, Ray-I Chang, Show-Jane Yen et al.· Electronics· 0 citations
This research presents RootViel, an agentic offensive-security platform built on the MINERVA engine, introducing a deterministic approach to verifying security findings generated by autonomous AI agents. The work addresses a fundamental limitation of contemporary multi-agent security systems: the reliance on Large Lang...
Alejandro Jaime· Zenodo (CERN European Organi...· 0 citations
LLM-generated feedback varied by model, prompt design and positioning error type, but not consistently across assessment categories, suggesting model differences did not vary across assessment categories.
K. Rabelo, Laura Swinckles, Eduardo Delamare et al.· European journal of dental e...· 0 citations
A hypernetwork can generate task-specific model weights from a compact representation of the task, rather than learning a separate set of weights for every transformed version. In this work, invariant task coordinates are used to generate canonical weights, which are then transformed according to the known task symmetr...
Chanayut Theslongthong· Zenodo (CERN European Organi...· 0 citations
The BioSample database contains tens of millions of records describing biological samples, but their metadata are submitted largely as key--value pairs with inconsistent field names, terminology and free-text descriptions, limiting search and reuse. Before the DBCLS BioHackathon 2026, we used a pipeline based on locall...
Shuya Ikeda, Núria Fabrega, Hirotaka Suetake et al.· 0 citations
While Large Language Models (LLMs) such as ChatGPT and Gemini have transformed information processing in resource-rich languages, their effectiveness significantly diminishes when applied to low-resource regional languages (e.g., Sundanese and Javanese). This paper investigates the performance bottlenecks experienced b...
Zivanna Rengganis Suparman· Zenodo (CERN European Organi...· 0 citations
Abstract Background There are a growing number of cases where direct use of AI has been associated with either new or worsening psychiatric symptoms (colloquially labelled AI psychosis). Due to the novelty of the phenomenon, current literature is limited on the impacts of sustained, emotionally charged interactions wit...
Ankith Arun, Christina Trinh, Waguih William IsHak· Discover Mental Health· 0 citations
Background Gene-level constraint and conservation scores are widely used to prioritise disease genes and to benchmark genomic language models. Purifying selection acts weakly on phenotypes manifesting after reproduction, so these scores are expected to carry less information about late-onset disease. An onset-dependent...
Anees Ahmed Mahaboob Ali, Everette Jacob Remington Nelson· bioRxiv· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
