data science

Slaying the Hydra: Interaction-Aware Circuit Discovery in Language Models

Localizing behavior to individual components of a language model is a central goal of mechanistic interpretability. However, scoring components one at a time misses context-dependent effects: a primary component can inhibit the activation of a backup, leading to issues with ranking components. Actual causality studies...

When Is Enough Enough in Self-Evolving LLM Systems?

Self-evolving large language model (LLM) systems repeatedly propose, evaluate, and incorporate updates to prompts, skills, or other persistent artifacts. Despite their growing effectiveness, these systems typically operate under a predetermined iteration or compute budget, without a principled criterion to determine wh...

Causally Fair Generation with Large Language Models

Large language models (LLMs) are increasingly used to generate, complete, and transform information in settings where their outputs can shape consequential decisions, raising concerns about their impact on demographic disparities. In this context, causal inference provides a principled basis for assessing fairness, bec...

Getting Scientists On Board with Cloud Portals

Cloud resources already exist that enable doing science on massive datasets and computationally large problems. There is also the pressure for collaboration and replicability, which clouds are already strong with. It requires some adjustment by scientists to learn cloud tools. Early adopters are willing to self-start,...

Getting Scientists On Board with Cloud Portals

Cloud resources already exist that enable doing science on massive datasets and computationally large problems. There is also the pressure for collaboration and replicability, which clouds are already strong with. It requires some adjustment by scientists to learn cloud tools. Early adopters are willing to self-start,...

Mapping the Evidence on Cardiovascular Disease Risk among Individuals Experiencing Disability: A Scoping Review.

Objective To map the existing evidence on CVD risk among individuals with complex and disabling health conditions including traumatic brain injury (TBI), multiple sclerosis (MS), spinal cord injury (SCI), cerebral palsy (CP), spina bifida (SB), and poliomyelitis and identify gaps to guide future research.Design A scopi...

PRIMAD-LID in Practice : An RO-Crate Profile for Reproducible ML in Bioinformatics

Machine learning reproducibility requires documentation of interdependent research components and the decisions made throughout a study. This poster presents ongoing work to develop an RO-Crate profile for representing reproducibility metadata in machine learning–based bioinformatics studies, guided by PRIMAD-LID and i...

PRIMAD-LID in Practice : An RO-Crate Profile for Reproducible ML in Bioinformatics

Machine learning reproducibility requires documentation of interdependent research components and the decisions made throughout a study. This poster presents ongoing work to develop an RO-Crate profile for representing reproducibility metadata in machine learning–based bioinformatics studies, guided by PRIMAD-LID and i...

Psychological Therapy in the Management of Temporomandibular Disorders: A Systematic Review

Aim: To evaluate the effectiveness of psychological therapy in the management of temperomandibular disorders compared to other treatment modalities. Methodology: Studies were selected according to PICO criteria, considering the RDC/TMD as a reference, improvement of pain and psychological parameters were the primary ou...

Explaining Organizational Decoupling through Informal Governance: A Latent Mediation Model of Academic Discipline

This study examines how Informal governance is associated with Organizational decoupling among Chinese university students, with Academic discipline proposed as an explanatory mechanism. Drawing on self-determination and self-regulated learning perspectives, a conditional process model was specified and evaluated using...

Mycelium of science diplomacy: Cultivating Gulf biodiversity data sharing in complex trust environments

Stem Cell-Based Therapies in Periodontology and Implant Dentistry: A Systematic Review and Meta-Analysis

Introduction: Periodontal disease and peri-implantitis remain the leading causes of tooth and implant loss, and conventional regenerative procedures consistently fall short of full structural restoration. Stem cell therapies have emerged as a promising alternative, operating through multi-lineage differentiation, immun...