Cover Image

Automated Capability Evaluation of Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Afkanpour, Arash, Dige, Omkar, Tavakoli, Fatemeh, Baghbanzadeh, Negin, Kohankhaki, Farnaz, Dolatabadi, Elham
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models
by: Islam, Mohammed Saidul, et al.
Published: (2026)

Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning
by: Baghbanzadeh, Negin, et al.
Published: (2025)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis
by: Kohankhaki, Farnaz, et al.
Published: (2024)

Advancing Medical Representation Learning Through High-Quality Data
by: Baghbanzadeh, Negin, et al.
Published: (2025)

Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models
by: Roy, Shuvendu, et al.
Published: (2024)

Similarity-Aware Token Pruning: Your VLM but Faster
by: Jeddi, Ahmadreza, et al.
Published: (2025)

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
by: Roy, Shuvendu, et al.
Published: (2024)

A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
by: Xu, Wen, et al.
Published: (2025)

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records
by: Fallahpour, Adibvafa, et al.
Published: (2024)

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
by: Raza, Shaina, et al.
Published: (2024)

A Shared Encoder Approach to Multimodal Representation Learning
by: Roy, Shuvendu, et al.
Published: (2025)

Can Generative Models Improve Self-Supervised Representation Learning?
by: Ayromlou, Sana, et al.
Published: (2024)

Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs
by: Kohankhaki, Farnaz, et al.
Published: (2024)

Monte Carlo Tree Search in the Presence of Transition Uncertainty
by: Kohankhaki, Farnaz, et al.
Published: (2023)

On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language
by: Tian, Jacob-Junqi, et al.
Published: (2023)

When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains
by: Jeddi, Ahmadreza, et al.
Published: (2026)

Learning in complex action spaces without policy gradients
by: Tavakoli, Arash, et al.
Published: (2024)

Automated Capability Discovery via Foundation Model Self-Exploration
by: Lu, Cong, et al.
Published: (2025)

Automated Model Design using Gated Neuron Selection in Telecom
by: Orucu, Adam, et al.
Published: (2026)

Evaluating Large Language Models for Security Bug Report Prediction
by: Soltaniani, Farnaz, et al.
Published: (2026)

Parallel Split Learning with Global Sampling
by: Kohankhaki, Mohammad, et al.
Published: (2024)

Physics-Inspired Deep Learning and Transferable Models for Bridge Scour Prediction
by: Yousefpour, Negin, et al.
Published: (2024)

Evaluating Frontier Models for Dangerous Capabilities
by: Phuong, Mary, et al.
Published: (2024)

Sundial: A Family of Highly Capable Time Series Foundation Models
by: Liu, Yong, et al.
Published: (2025)

A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
by: Loni, Mohammad, et al.
Published: (2024)

Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
by: Nazari, Farnaz, et al.
Published: (2021)

A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction
by: Jin, Houji, et al.
Published: (2025)

From Data Leak to Secret Misses: The Impact of Data Leakage on Secret Detection Models
by: Soltaniani, Farnaz, et al.
Published: (2026)

Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
by: Khajooeinejad, Arash, et al.
Published: (2024)

Automating the Enterprise with Foundation Models
by: Wornow, Michael, et al.
Published: (2024)

Beyond Activation Alignment: The Geometry of Neural Sensitivity
by: Yavari, Amirhossein, et al.
Published: (2026)

Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
by: Abdollahi, Armin, et al.
Published: (2024)

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
by: Dolatabadi, Hadi M., et al.
Published: (2023)

Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Prediction
by: Hashem, Tahrima, et al.
Published: (2024)

A Data-Driven Review of Remote Sensing-Based Data Fusion in Precision Agriculture from Foundational to Transformer-Based Techniques
by: Saki, Mahdi, et al.
Published: (2024)

$π_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
by: Intelligence, Physical, et al.
Published: (2026)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment
by: Lima, Maria R., et al.
Published: (2025)

Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering
by: Heravi, Negin, et al.
Published: (2022)

Towards Natural Language-Driven Assembly Using Foundation Models
by: Joglekar, Omkar, et al.
Published: (2024)