:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Elangovan, Aparna, Xu, Lei, Elyasi, Mahsa, Akdulum, Ismail, Aksakal, Mehmet, Gurun, Enes, Hur, Brian, Mansour, Saab, Ziv, Ravid Shwartz, Verspoor, Karin, Roth, Dan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.05500
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Principles from Clinical Research for NLP Model Generalization
by: Elangovan, Aparna, et al.
Published: (2023)

Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
by: Patel, Niket, et al.
Published: (2024)

Ultrasonography Combined With Strain Elastography for Differentiation of Parotid Masses
by: Enes Gurun
Published: (2025)

Beyond correlation: The Impact of Human Uncertainty in Measuring the Effectiveness of Automatic Evaluation and LLM-as-a-Judge
by: Elangovan, Aparna, et al.
Published: (2024)

The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025)

The Added Value of Shear Wave Elastography in the Diagnosis and Grading of Carpal Tunnel Syndrome
by: Enes Gurun, et al.
Published: (2025)

Added Value of Ultra Micro Angiography for Renal Tumor Assessment
by: Mustafa Basaran, et al.
Published: (2026)

Video Representation Learning with Joint-Embedding Predictive Architectures
by: Drozdov, Katrina, et al.
Published: (2024)

Interpreting Peritumoral Elastography—Technical and Pathologic Considerations
by: Mahsima Gül Gümrükçü, et al.
Published: (2025)

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
by: Paech, Samuel, et al.
Published: (2025)

When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
by: Sanyal, Sunny, et al.
Published: (2024)

AI Must Embrace Specialization via Superhuman Adaptable Intelligence
by: Goldfeder, Judah, et al.
Published: (2026)

The Entropy Enigma: Success and Failure of Entropy Minimization
by: Press, Ori, et al.
Published: (2024)

Does Representation Matter? Exploring Intermediate Layers in Large Language Models
by: Skean, Oscar, et al.
Published: (2024)

Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
by: Shaar, Eitan, et al.
Published: (2026)

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
by: Shani, Chen, et al.
Published: (2025)

On Training in Imagination
by: Timor, Nadav, et al.
Published: (2026)

Variance-Covariance Regularization Improves Representation Learning
by: Zhu, Jiachen, et al.
Published: (2023)

Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
by: Chen, Angelica, et al.
Published: (2023)

EMBRE: Entity-aware Masking for Biomedical Relation Extraction
by: Li, Mingjie, et al.
Published: (2024)

Exploring Human-AI Conceptual Alignment through the Prism of Chess
by: Lomasov, Semyon, et al.
Published: (2025)

Truth and the Will to Illusion
by: Filipowicz, Stanisław
Published: (2024)

An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
by: Shwartz-Ziv, Ravid, et al.
Published: (2023)

Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
by: Nguyen, Minh Nhat, et al.
Published: (2024)

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
by: LeVi, Amit, et al.
Published: (2025)

Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
by: Zeevi, Tal, et al.
Published: (2024)

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
by: Elangovan, Aparna, et al.
Published: (2024)

Beyond the Loss Curve: Scaling Laws, Active Learning, and the Limits of Learning from Exact Posteriors
by: Khorasani, Arian, et al.
Published: (2026)

Layer Importance for Mathematical Reasoning is Forged in Pre-Training and Invariant after Post-Training
by: Nepal, Aadim, et al.
Published: (2025)

Between Institutional Loneliness and Visibility: Low‐Income Families Navigating Housing Insecurity in Social Welfare Programs
by: Tamar Shwartz‐Ziv, et al.
Published: (2025)

JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
by: Ioannides, Georgios, et al.
Published: (2025)

Just How Flexible are Neural Networks in Practice?
by: Shwartz-Ziv, Ravid, et al.
Published: (2024)

UAT-LITE: Inference-Time Uncertainty-Aware Attention for Pretrained Transformers
by: Hossain, Elias, et al.
Published: (2026)

A superpersuasive autonomous policy debating system
by: Roush, Allen, et al.
Published: (2025)

Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials
by: Simon Šuster, et al.
Published: (2024)

Diagnostic Value of Dual‐Energy CT Iodine Mapping in Differentiating Malignant and Benign Cervical Lymphadenopathies
by: Mustafa Başaran, et al.
Published: (2025)

Layer by Layer: Uncovering Hidden Representations in Language Models
by: Skean, Oscar, et al.
Published: (2025)

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
by: Arefin, Md Rifat, et al.
Published: (2024)

A Framework for Transparent Reporting of Data Quality Analysis Across the Clinical Electronic Health Record Data Lifecycle
by: Wassell, Melinda, et al.
Published: (2026)

A chance to learn : knowledge and finance for education in Sub-Saharan Africa / Adriaan Verspoor
by: Verspoor, Adriaan
Published: (2001)