Copertina

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Fadli, Samih
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Machine Learning I.2.6, I.2.7 I.2.6; I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
di: Han, Xudong, et al.
Pubblicazione: (2025)

Merge-Bench: Resolve Merge Conflicts with Large Language Models
di: Schesch, Benedikt, et al.
Pubblicazione: (2026)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
di: Liao, Jianxing, et al.
Pubblicazione: (2025)

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

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

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

The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
di: Anderson, Samuel Cyrenius
Pubblicazione: (2026)

Memory Bank Compression for Continual Adaptation of Large Language Models
di: Katraouras, Thomas, et al.
Pubblicazione: (2026)

Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation
di: Bouchekif, Abdessalam, et al.
Pubblicazione: (2025)

SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
di: Zhang, Yuxuan
Pubblicazione: (2025)

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
di: Heyman, Alex, et al.
Pubblicazione: (2025)

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
di: Adapala, Sai Teja Reddy
Pubblicazione: (2025)

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
di: Rath, Plawan Kumar, et al.
Pubblicazione: (2026)

Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
di: Heyman, Alex, et al.
Pubblicazione: (2025)

MCP: A Control-Theoretic Orchestration Framework for Synergistic Efficiency and Interpretability in Multimodal Large Language Models
di: Zhang, Luyan
Pubblicazione: (2025)

Machine Unlearning for Masked Diffusion Language Models
di: Lee, Georu, et al.
Pubblicazione: (2026)

Truth as a Compression Artifact in Language Model Training
di: Krestnikov, Konstantin
Pubblicazione: (2026)

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

CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
di: Sun, Kangkang, et al.
Pubblicazione: (2026)

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

Language Models Are Implicitly Continuous
di: Marro, Samuele, et al.
Pubblicazione: (2025)

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

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning
di: Steele, Brady
Pubblicazione: (2026)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
di: Baxi, Rahul
Pubblicazione: (2025)

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

Combining Language and Topic Models for Hierarchical Text Classification
di: Toit, Jaco du, et al.
Pubblicazione: (2025)

Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility
di: Szilvasy, Gergely, et al.
Pubblicazione: (2026)

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
di: Zhu, Jiajun, et al.
Pubblicazione: (2025)

Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
di: Shafique, Muhammad Ali, et al.
Pubblicazione: (2025)

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
di: Nakamura, Mason, et al.
Pubblicazione: (2025)

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
di: Shravan, Rohan
Pubblicazione: (2026)

How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework
di: Saghir, Hamidreza
Pubblicazione: (2026)

Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
di: Easley, Eric, et al.
Pubblicazione: (2026)

Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance
di: Naser-Moghadasi, Mahdi, et al.
Pubblicazione: (2026)

D-COT: Disciplined Chain-of-Thought Learning for Efficient Reasoning in Small Language Models
di: Ubukata, Shunsuke
Pubblicazione: (2026)

Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction
di: Walker, Nicholas
Pubblicazione: (2024)

Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks
di: Yıldırım, Alper, et al.
Pubblicazione: (2025)

Emergent Lexical Semantics in Neural Language Models: Testing Martin's Law on LLM-Generated Text
di: Kugler, Kai
Pubblicazione: (2025)

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding
di: Feng, Qi, et al.
Pubblicazione: (2025)