Cover Image

Elias in the Lighthouse, Again? Diagnosing Low Diversity in LLM Stories

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hamilton, Sil, Mimno, David
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attention Flows: Tracing LLM Conceptual Engagement via Story Summaries
by: Hicke, Rebecca M. M., et al.
Published: (2026)

Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
by: Hamilton, Sil, et al.
Published: (2025)

The Zero Body Problem: Probing LLM Use of Sensory Language
by: Hicke, Rebecca M. M., et al.
Published: (2025)

Lost in Space: Finding the Right Tokens for Structured Output
by: Hamilton, Sil, et al.
Published: (2025)

A City of Millions: Mapping Literary Social Networks At Scale
by: Hamilton, Sil, et al.
Published: (2025)

Diagnosing Training Inference Mismatch in LLM Reinforcement Learning
by: Zhong, Tianle, et al.
Published: (2026)

Detecting Mode Collapse in Language Models via Narration
by: Hamilton, Sil
Published: (2024)

Ask Again, Then Fail: Large Language Models' Vacillations in Judgment
by: Xie, Qiming, et al.
Published: (2023)

Diagnosing Structural Failures in LLM-Based Evidence Extraction for Meta-Analysis
by: Tan, Zhiyin, et al.
Published: (2026)

Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations
by: Gupta, Manan, et al.
Published: (2026)

Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets
by: Devine, Peter
Published: (2024)

You Can Generate It Again: Data-to-Text Generation with Verification and Correction Prompting
by: Ren, Xuan, et al.
Published: (2023)

QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability
by: Zou, Bo, et al.
Published: (2026)

Addressing LLM Diversity by Infusing Random Concepts
by: Agrawal, Pulin, et al.
Published: (2026)

Understanding the Effects of RLHF on LLM Generalisation and Diversity
by: Kirk, Robert, et al.
Published: (2023)

Diagnosing Medical Datasets with Training Dynamics
by: Wenderoth, Laura
Published: (2024)

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
by: Cohen, Seffi, et al.
Published: (2025)

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
by: Fan, Dongyang, et al.
Published: (2025)

Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
by: Troshin, Sergey, et al.
Published: (2025)

MultiSoc-4D: A Benchmark for Diagnosing Instruction-Induced Label Collapse in Closed-Set LLM Annotation of Bengali Social Media
by: Pramanik, Souvik, et al.
Published: (2026)

LLMSurgeon: Diagnosing Data Mixture of Large Language Models
by: Luo, Yaxin, et al.
Published: (2026)

Affective and Dynamic Beam Search for Story Generation
by: Huang, Tenghao, et al.
Published: (2023)

CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
by: Perets, Oriel, et al.
Published: (2025)

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning
by: Liu, Licheng, et al.
Published: (2025)

Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
by: Zou, Heming, et al.
Published: (2025)

Scalable LLM Reasoning Acceleration with Low-rank Distillation
by: Dong, Harry, et al.
Published: (2025)

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
by: Hsu, Aliyah R., et al.
Published: (2023)

Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration
by: Chen, Zhipeng, et al.
Published: (2026)

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space
by: Bigelow, Eric, et al.
Published: (2026)

Optimal Singular Damage: Efficient LLM Inference in Low Storage Regimes
by: Alipour, Mohammadsajad, et al.
Published: (2025)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
by: Muñoz, J. Pablo, et al.
Published: (2025)

The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
by: Yang, Ruihan, et al.
Published: (2025)

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts
by: Yin, Yueqin, et al.
Published: (2024)

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
by: Mazumder, Aritra, et al.
Published: (2026)

The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)

Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models
by: Jeong, Jihoon
Published: (2026)

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story
by: Pedashenko, Vladislav, et al.
Published: (2025)

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows
by: Ayala, Orlando Marquez, et al.
Published: (2025)

Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
by: Qiao, Boyu, et al.
Published: (2026)

Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
by: Ortega, Fernando, et al.
Published: (2026)