Results 61 to 70 of about 81,815 (304)

Job Search in Thick Markets: Evidence from Italy [PDF]

I analyze empirically the effects of both urban and industrial agglomeration on menÂ’s and womenÂ’s search behavior and on the efficiency of matching. The analysis is based on a unique panel data set from the Italian Labor Force Survey micro-data, which ...
Sabrina Di Addario
core   +3 more sources

Large Language Models in Generating Differential Diagnoses in the Emergency Department: A Comparative Study of ChatGPT, Copilot, and Emergency Physician

Eurasian Journal of Emergency Medicine
Aim: Accurate diagnosis in emergency departments relies heavily on clinical decision-making, yet cognitive errors contribute to a significant proportion of diagnostic mistakes.
Banu Arslan, Büşra Erdem, Merve Osoydan Satıcı, Çağatay Nuhoğlu, Hasan Yasin Soylu   +4 more
doaj   +1 more source

LLMs Judging LLMs: A Simplex Perspective

Given the challenge of automatically evaluating free-form outputs from large language models (LLMs), an increasingly common solution is to use LLMs themselves as the judging mechanism, without any gold-standard scores. Implicitly, this practice accounts for only sampling variability (aleatoric uncertainty) and ignores uncertainty about judge quality ...
Vossler, Patrick, Xia, Fan, Mai, Yifan, Subbaswamy, Adarsh, Feng, Jean   +4 more
openaire   +2 more sources

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Foregrounding doctoral knowledge and knower in the age of Generative Artificial Intelligence

Transformation in Higher Education
While Generative Artificial Intelligence (AI) presents new challenges for doctoral education, it also offers an opportunity to refocus doctoral programmes on their fundamental purposes: contributing to knowledge and developing critical researchers.
Sioux McKenna
doaj   +1 more source

LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?

, 2023
Judging the equivalence between two SQL queries is a fundamental problem with many practical applications in data management and SQL generation (i.e., evaluating the quality of generated SQL queries in text-to-SQL task). While the research community has reasoned about SQL equivalence for decades, it poses considerable difficulties and no complete ...
Zhao, Fuheng, Chen, Jiayue, Lim, Lawrence, Ahmad, Ishtiyaque, Agrawal, Divyakant, Abbadi, Amr El   +5 more
openaire   +2 more sources

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Large Language Models (LLMs) have reshaped natural language processing, powering applications from multi-hop retrieval and question answering to autonomous agent workflows. Yet, prompt engineering -- the task of crafting textual inputs to effectively direct LLMs -- remains difficult and labor-intensive, particularly for complex pipelines that combine ...
Yin, Li, Wang, Zhangyang
openaire   +2 more sources

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source

Digital Friends and Empathy Blindness

Open Philosophy
Can chatbot-based virtual relationships replace physical ones? One possible bottleneck is lack of empathy in chatbots, as well as the attraction of physical relationships.
Bangsgaard Alberte Romme, Kløve Ryelund Cecilia, Lind Nilsson Mathilde Marie, Søgaard Anders   +3 more
doaj   +1 more source