{"total":19,"rows":[{"id":"2402.14433","title":"A Language Model's Guide Through Latent Space","created":"2024-02-22","cited_by_count":43,"area":null},{"id":"2502.16534","title":"Multilingual != Multicultural: Evaluating Gaps Between Multilingual Capabilities and Cultural Alignment in LLMs","created":"2025-02-23","cited_by_count":39,"area":null},{"id":"2503.08663","title":"Generating Robot Constitutions & Benchmarks for Semantic Safety","created":"2025-03-11","cited_by_count":33,"area":null},{"id":"2405.21030","title":"Standards for Belief Representations in LLMs","created":"2024-05-31","cited_by_count":30,"area":null},{"id":"2605.02087","title":"Model Spec Midtraining: Improving How Alignment Training Generalizes","created":"2026-05-03","cited_by_count":20,"area":null},{"id":"2505.19030","title":"RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data","created":"2025-05-25","cited_by_count":12,"area":null},{"id":"2403.01069","title":"LLMCRIT: Teaching Large Language Models to Use Criteria","created":"2024-03-02","cited_by_count":9,"area":null},{"id":"2407.19760","title":"Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios","created":"2024-07-29","cited_by_count":7,"area":null},{"id":"2409.18203","title":"Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors","created":"2024-09-26","cited_by_count":5,"area":null},{"id":"2509.16444","title":"Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots","created":"2025-09-19","cited_by_count":4,"area":null},{"id":"2407.20208","title":"Supertrust foundational alignment: mutual trust must replace permanent control for safe superintelligence","created":"2024-07-29","cited_by_count":1,"area":null},{"id":"2504.15125","title":"Contemplative Artificial Intelligence","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2604.17663","title":"ATLAS: Constitution-Conditioned Latent Geometry and Redistribution Across Language Models and Neural Perturbation Data","created":"2026-04-19","cited_by_count":1,"area":null},{"id":"2606.09475","title":"Emergent alignment and the projectability of ethical personas","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2606.15420","title":"Constitutional Value Potentials: reading and steering internal priority margins in language models","created":"2026-06-13","cited_by_count":1,"area":null},{"id":"2512.09729","title":"Ethics Readiness of Artificial Intelligence: A Practical Evaluation Method","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2605.12963","title":"Sustaining AI safety: Control-theoretic external impossibility, intrinsic necessity, and structural requirements","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2606.13739","title":"A Virtuous AI is an Existential Risk","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2610.04379","title":"AgentPersonaBench: Benchmarking Persona-Driven User Simulation","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}