:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liang, Qiyao, Miikkulainen, Risto, Fiete, Ila
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.05686
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective
by: Liang, Qiyao, et al.
Published: (2026)

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
by: Liang, Qiyao, et al.
Published: (2024)

Compositional Generalization via Forced Rendering of Disentangled Latents
by: Liang, Qiyao, et al.
Published: (2025)

Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
by: Qiu, Xin, et al.
Published: (2024)

How Diffusion Models Learn to Factorize and Compose
by: Liang, Qiyao, et al.
Published: (2024)

Learning from the Past: How Previous Technological Transformations Can Guide AI Development
by: Miikkulainen, Risto, et al.
Published: (2019)

Neural Cellular Automata for ARC-AGI
by: Xu, Kevin, et al.
Published: (2025)

The Odyssey of the Fittest: Can Agents Survive and Still Be Good?
by: Waldner, Dylan, et al.
Published: (2025)

Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost
by: Xu, Yinggan, et al.
Published: (2026)

Modular connectivity in neural networks emerges from Poisson noise-motivated regularisation, and promotes robustness and compositional generalisation
by: Qian, Daoyuan, et al.
Published: (2025)

EVOTER: Evolution of Transparent Explainable Rule-sets
by: Shahrzad, Hormoz, et al.
Published: (2022)

Key-value memory in the brain
by: Gershman, Samuel J., et al.
Published: (2025)

Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management
by: Khanna, Ashok, et al.
Published: (2024)

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
by: Qiu, Xin, et al.
Published: (2025)

Fine-Tuning Language Models to Know What They Know
by: Park, Sangjun, et al.
Published: (2026)

Optimize Wider, Not Deeper: Consensus Aggregation for Policy Optimization
by: Su, Zelal, et al.
Published: (2026)

Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies
by: Schweighofer, Kajetan, et al.
Published: (2026)

Unlocking the Potential of Global Human Expertise
by: Meyerson, Elliot, et al.
Published: (2024)

Permutation Invariant Learning with High-Dimensional Particle Filters
by: Boopathy, Akhilan, et al.
Published: (2024)

Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
by: Hwang, Jaedong, et al.
Published: (2023)

Efficient Pre-Training of LLMs through Truncated SVD Layers
by: Kamali, Kaivan, et al.
Published: (2026)

Fast dynamical similarity analysis
by: Behrad, Arman, et al.
Published: (2025)

NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
by: Wang, Wenxi, et al.
Published: (2021)

TerraLingua: Emergence and Analysis of Open-endedness in LLM Ecologies
by: Paolo, Giuseppe, et al.
Published: (2026)

Large Pre-Training Datasets Don't Always Guarantee Robustness after Fine-Tuning
by: Hwang, Jaedong, et al.
Published: (2024)

Hallucination as Trajectory Commitment: Causal Evidence for Asymmetric Attractor Dynamics in Transformer Generation
by: Akarlar, G. Aytug
Published: (2026)

Generative AI: An AI paradigm shift in the making?
by: Risto Miikkulainen
Published: (2024)

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning
by: Hwang, Jaedong, et al.
Published: (2025)

Paper Quality Assessment based on Individual Wisdom Metrics from Open Peer Review
by: Zahorodnii, Andrii, et al.
Published: (2025)

Discovering Effective Policies for Land-Use Planning with Neuroevolution
by: Young, Daniel, et al.
Published: (2023)

Causal Evidence for Attention Head Imbalance in Modality Conflict Hallucination
by: Jiang, Jinrui, et al.
Published: (2026)

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
by: Hu, Jiaxi, et al.
Published: (2024)

Don't Kill the Baby: The Case for AI in Arbitration
by: Broyde, Michael, et al.
Published: (2024)

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
by: Diao, Muxi, et al.
Published: (2026)

Unified Neural Network Scaling Laws and Scale-time Equivalence
by: Boopathy, Akhilan, et al.
Published: (2024)

Fundamental performance bounds on time-series generation using reservoir computing
by: Qian, Daoyuan, et al.
Published: (2024)

Solving a Million-Step LLM Task with Zero Errors
by: Meyerson, Elliot, et al.
Published: (2025)

The First Token Knows: Single-Decode Confidence for Hallucination Detection
by: Gabriel, Mina
Published: (2026)

From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
by: Suresh, Praneet, et al.
Published: (2025)

Epistemic Filtering and Collective Hallucination: A Jury Theorem for Confidence-Calibrated Agents
by: Karge, Jonas
Published: (2026)