{"total":19,"rows":[{"id":"2501.00273","title":"Echoes in AI: Quantifying lack of plot diversity in LLM outputs","created":"2024-12-31","cited_by_count":48,"area":null},{"id":"2410.06084","title":"Diversity-Rewarded CFG Distillation","created":"2024-10-08","cited_by_count":9,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2410.17218","title":"Creativity in AI: Progresses and Challenges","created":"2024-10-22","cited_by_count":7,"area":null},{"id":"2601.08003","title":"LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback","created":"2026-01-12","cited_by_count":5,"area":null},{"id":"2602.16162","title":"LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writers","created":"2026-02-18","cited_by_count":4,"area":null},{"id":"2406.17809","title":"Towards a Science Exocortex","created":"2024-06-24","cited_by_count":3,"area":null},{"id":"2505.24539","title":"Localizing Persona Representations in LLMs","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2601.16444","title":"Exploring the Effects of Alignment on Numerical Bias in Large Language Models","created":"2026-01-23","cited_by_count":3,"area":null},{"id":"2601.21339","title":"Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks","created":"2026-01-29","cited_by_count":3,"area":null},{"id":"2605.11845","title":"Probabilistic Calibration Is a Trainable Capability in Language Models","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2606.11762","title":"Automated Creativity Evaluation of Language Models Across Open-Ended Tasks","created":"2026-06-10","cited_by_count":2,"area":null},{"id":"2507.15736","title":"IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research","created":"2025-07-21","cited_by_count":1,"area":null},{"id":"2512.10758","title":"Designing AI-Resilient Assessments Using Interconnected Problems: A Theoretically Grounded and Empirically Validated Framework","created":"2025-12-11","cited_by_count":1,"area":null},{"id":"2509.25767","title":"Galton's Law of Mediocrity: Why Large Language Models Regress to the Mean and Fail at Creativity in Advertising","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2604.08561","title":"A Representation-Level Assessment of Bias Mitigation in Foundation Models","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2605.14746","title":"Selective Safety Steering via Value-Filtered Decoding","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.00545","title":"The Assistant as a Privileged Persona: A canonical reference in cross-persona self-recognition","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2609.32196","title":"The Judge Is Not Its Twin: Post-training makes a model's writing more predictable but barely moves its taste, as a judge, toward predictable writing","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}