Cover Image

ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Seneque, Gareth, Ho, Lap-Hang, Saeedi, Nafise Erfanian, Molendijk, Jeffrey, Elson, Tim
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language 68T50 I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ENIGMA: The Geometry of Reasoning and Alignment in Large-Language Models
by: Seneque, Gareth, et al.
Published: (2025)

ABC Align: Large Language Model Alignment for Safety & Accuracy
by: Seneque, Gareth, et al.
Published: (2024)

Constitution or Collapse? Exploring Constitutional AI with Llama 3-8B
by: Zhang, Xue
Published: (2025)

GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
by: Luo, Jianwen, et al.
Published: (2025)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
by: Friedman, Scott, et al.
Published: (2026)

On Adversarial Examples for Text Classification by Perturbing Latent Representations
by: Sooksatra, Korn, et al.
Published: (2024)

Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
by: Anam, Rizal Khoirul
Published: (2025)

Targeted Lexical Injection: Unlocking Latent Cross-Lingual Alignment in Lugha-Llama via Early-Layer LoRA Fine-Tuning
by: Ngugi, Stanley
Published: (2025)

The Geometry of Persona: Disentangling Personality from Reasoning in Large Language Models
by: Wang, Zhixiang
Published: (2025)

The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)

Co-NAML-LSTUR: A Combined Model with Attentive Multi-View Learning and Long- and Short-term User Representations for News Recommendation
by: Nguyen, Minh Hoang, et al.
Published: (2025)

Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)

Semantic Convergence: Investigating Shared Representations Across Scaled LLMs
by: Son, Daniel, et al.
Published: (2025)

Towards Probabilistic Question Answering Over Tabular Data
by: Shen, Chen, et al.
Published: (2025)

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
by: Ekle, Ocheme Anthony, et al.
Published: (2025)

Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval
by: Haque, Md. Asraful, et al.
Published: (2026)

The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings
by: Goldin, Gili, et al.
Published: (2024)

Math Natural Language Inference: this should be easy!
by: de Paiva, Valeria, et al.
Published: (2025)

Fast Quiet-STaR: Thinking Without Thought Tokens
by: Huang, Wei, et al.
Published: (2025)

New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR
by: Wang, Zhilin, et al.
Published: (2026)

Pitfalls in Evaluating Interpretability Agents
by: Haklay, Tal, et al.
Published: (2026)

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
by: Pan, Leyi, et al.
Published: (2025)

Towards Effective and Efficient Continual Pre-training of Large Language Models
by: Chen, Jie, et al.
Published: (2024)

An Unforgeable Publicly Verifiable Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
by: Liu, Aiwei, et al.
Published: (2024)

SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
by: Kim, Jaemin, et al.
Published: (2024)

Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense
by: Zhang, Zhehao, et al.
Published: (2025)

Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing
by: Fernández-González, Daniel, et al.
Published: (2026)

Parametric Social Identity Injection and Diversification in Public Opinion Simulation
by: Wang, Hexi, et al.
Published: (2026)

Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal
by: Oehri, Markus, et al.
Published: (2025)

Beyond Cosine Similarity
by: Ai, Xinbo
Published: (2026)

AI-assisted German Employment Contract Review: A Benchmark Dataset
by: Wardas, Oliver, et al.
Published: (2025)

The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)

ScoreRAG: A Retrieval-Augmented Generation Framework with Consistency-Relevance Scoring and Structured Summarization for News Generation
by: Lin, Pei-Yun, et al.
Published: (2025)

Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models
by: Park, Seungcheol, et al.
Published: (2025)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
by: Wang, Yongjie, et al.
Published: (2025)

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models
by: Pan, Leyi, et al.
Published: (2025)

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
by: Seo, Yeongbin, et al.
Published: (2024)