Model Collapse as Cultural Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Dongxin, Wu, Jikun, Yiu, Siu Ming
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning I.2.7; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
by: Guo, Dongxin, et al.
Published: (2026)

Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
by: Wu, Jikun, et al.
Published: (2026)

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
by: Guo, Dongxin, et al.
Published: (2026)

RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization
by: Guo, Dongxin, et al.
Published: (2026)

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
by: Guo, Dongxin, et al.
Published: (2026)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
by: Guo, Dongxin, et al.
Published: (2026)

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
by: Guo, Dongxin, et al.
Published: (2026)

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
by: Guo, Dongxin, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems
by: Guo, Dongxin
Published: (2026)

The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models
by: Liu, Ming
Published: (2026)

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification
by: Liu, Ming
Published: (2026)

Self-Training Doesn't Flatten Language -- It Restructures It: Surface Markers Amplify While Deep Syntax Dies
by: Liu, Ming
Published: (2026)

Intention Collapse: Intention-Level Metrics for Reasoning in Language Models
by: Vera, Patricio
Published: (2026)

On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)

Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2026)

CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2025)

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
by: Guo, Dongxin, et al.
Published: (2026)

Prototype Transformer: Towards Language Model Architectures Interpretable by Design
by: Yordanov, Yordan, et al.
Published: (2026)

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
by: Zhang, Gongbo, et al.
Published: (2026)

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
by: Guo, Dongxin, et al.
Published: (2026)

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)

Domain-Specific Pretraining of Language Models: A Comparative Study in the Medical Field
by: Kerner, Tobias
Published: (2024)

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models
by: Cui, Sasha, et al.
Published: (2025)

Beyond Hallucinations: A Composite Score for Measuring Reliability in Open-Source Large Language Models
by: Salla, Rohit Kumar, et al.
Published: (2025)

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
by: Zhang, Liangliang, et al.
Published: (2025)

No Free Swap: Protocol-Dependent Layer Redundancy in Transformers
by: Garcia, Gabriel
Published: (2026)

The Last Word Often Wins: A Format Confound in Chain-of-Thought Corruption Studies
by: Garcia, Gabriel
Published: (2026)

Counterfactual Likelihood Tests for Indirect Influence in Private Reasoning Channels
by: Lorup, Alexander Boesgaard
Published: (2026)

TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning
by: Pan, Muyu, et al.
Published: (2026)

Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations
by: Kumar, Sachin
Published: (2026)

Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text
by: Zhou, Tianyang, et al.
Published: (2026)

AMEL: Accumulated Message Effects on LLM Judgments
by: Temkit, Sid-Ali
Published: (2026)

Forget Attention: Importance-Aware Attention Is All You Need
by: Shin, Soohyeong, et al.
Published: (2026)

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
by: Cho, Hanjun, et al.
Published: (2026)

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy
by: Lan, Guangchen, et al.
Published: (2026)

Graph Memory Transformer (GMT)
by: Zanarini, Nicola, et al.
Published: (2026)

Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo
by: Gadzhiev, Artem, et al.
Published: (2026)

Weakly Supervised Distillation of Hallucination Signals into Transformer Representations
by: Salehmohamed, Shoaib Sadiq, et al.
Published: (2026)