Cover Image

Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Sunny, Jabbar, Ahmad, Hawkins, Robert, Jurafsky, Dan, Cheng, Myra
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HumT DumT: Measuring and controlling human-like language in LLMs
by: Cheng, Myra, et al.
Published: (2025)

Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
by: Cheng, Myra, et al.
Published: (2026)

ELEPHANT: Measuring and understanding social sycophancy in LLMs
by: Cheng, Myra, et al.
Published: (2025)

AnthroScore: A Computational Linguistic Measure of Anthropomorphism
by: Cheng, Myra, et al.
Published: (2024)

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
by: Demchak, Nathaniel, et al.
Published: (2024)

Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)

Verbalizing LLMs' assumptions to explain and control sycophancy
by: Cheng, Myra, et al.
Published: (2026)

Generating Planning Feedback for Open-Ended Programming Exercises with LLMs
by: Demirtaş, Mehmet Arif, et al.
Published: (2025)

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
by: Carlsson, Fredrik, et al.
Published: (2024)

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
by: Zhou, Yuxuan, et al.
Published: (2024)

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation
by: Guo, Zhihan, et al.
Published: (2025)

Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
by: Cheng, Myra, et al.
Published: (2025)

MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
by: Deroy, Aniket, et al.
Published: (2024)

ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
by: Choi, Hyeong Kyu, et al.
Published: (2026)

Othering and low status framing of immigrant cuisines in US restaurant reviews and large language models
by: Luo, Yiwei, et al.
Published: (2023)

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
by: Samvelyan, Mikayel, et al.
Published: (2024)

AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
by: Lu, Xiaotian, et al.
Published: (2024)

A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
by: Wang, Zhanliang, et al.
Published: (2026)

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
by: Shaik, Hashmath, et al.
Published: (2024)

Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
by: Chen, Nuo, et al.
Published: (2026)

GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows
by: Wang, Jize, et al.
Published: (2026)

Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation
by: Yang, Zixuan, et al.
Published: (2026)

Humans overrely on overconfident language models, across languages
by: Rathi, Neil, et al.
Published: (2025)

Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination
by: Mizrahi, Moran, et al.
Published: (2025)

Can Unconfident LLM Annotations Be Used for Confident Conclusions?
by: Gligorić, Kristina, et al.
Published: (2024)

Cognitive offloading and the speedup illusion in human-AI interaction
by: Yu, Sunny, et al.
Published: (2026)

The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks
by: Yu, Sunny, et al.
Published: (2026)

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
by: Xie, Tianbao, et al.
Published: (2024)

Towards Open-Ended Discovery for Low-Resource NLP
by: Dossou, Bonaventure F. P., et al.
Published: (2025)

XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation
by: Iyer, Vivek, et al.
Published: (2025)

Calibration Across Layers: Understanding Calibration Evolution in LLMs
by: Joshi, Abhinav, et al.
Published: (2025)

G-Zero: Self-Play for Open-Ended Generation from Zero Data
by: Huang, Chengsong, et al.
Published: (2026)

Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)

Spotting Out-of-Character Behavior: Atomic-Level Evaluation of Persona Fidelity in Open-Ended Generation
by: Shin, Jisu, et al.
Published: (2025)

Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
by: Mei, Jianbiao, et al.
Published: (2025)

IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation
by: Tran, Khanh-Tung, et al.
Published: (2025)

MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024)

Rethinking Word Similarity: Semantic Similarity through Classification Confusion
by: Zhou, Kaitlyn, et al.
Published: (2025)

CausalGym: Benchmarking causal interpretability methods on linguistic tasks
by: Arora, Aryaman, et al.
Published: (2024)