Cover Image

Evaluating the Diversity and Quality of LLM Generated Content

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shypula, Alexander, Li, Shuo, Zhang, Botong, Padmakumar, Vishakh, Yin, Kayo, Bastani, Osbert
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

Decaf: Improving Neural Decompilation with Automatic Feedback and Search
by: Shypula, Alexander, et al.
Published: (2026)

Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
by: Padmakumar, Vishakh, et al.
Published: (2024)

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
by: Li, Shuo, et al.
Published: (2023)

Does Writing with Language Models Reduce Content Diversity?
by: Padmakumar, Vishakh, et al.
Published: (2023)

Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
by: Padmakumar, Vishakh, et al.
Published: (2025)

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)

A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions
by: Mell, Stephen, et al.
Published: (2025)

LLM Program Optimization via Retrieval Augmented Search
by: Anupam, Sagnik, et al.
Published: (2025)

One-Shot Safety Alignment for Large Language Models via Optimal Dualization
by: Huang, Xinmeng, et al.
Published: (2024)

SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery
by: Anugraha, David, et al.
Published: (2026)

Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)

PopPy: Opportunistically Exploiting Parallelism in Python Compound AI Applications
by: Mell, Stephen, et al.
Published: (2026)

Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
by: Padmakumar, Vishakh, et al.
Published: (2025)

No Single Best Model for Diversity: Learning a Router for Sample Diversity
by: Liu, Yuhan, et al.
Published: (2026)

Are AI Capabilities Increasing Exponentially? A Competing Hypothesis
by: Ge, Haosen, et al.
Published: (2026)

American Sign Language Handshapes Reflect Pressures for Communicative Efficiency
by: Yin, Kayo, et al.
Published: (2024)

Which Attention Heads Matter for In-Context Learning?
by: Yin, Kayo, et al.
Published: (2025)

Conformal Structured Prediction
by: Zhang, Botong, et al.
Published: (2024)

BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks
by: Anupam, Sagnik, et al.
Published: (2025)

Transformers Struggle to Learn to Search
by: Saparov, Abulhair, et al.
Published: (2024)

Using Language Models to Disambiguate Lexical Choices in Translation
by: Barua, Josh, et al.
Published: (2024)

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
by: Verga, Pat, et al.
Published: (2024)

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
by: Yao, Michael S., et al.
Published: (2025)

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
by: Jinnai, Yuu, et al.
Published: (2024)

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation
by: Kumar, Shanu, et al.
Published: (2024)

VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation
by: Li, Jialu, et al.
Published: (2024)

Effective Reinforcement Learning for Reasoning in Language Models
by: Huang, Lianghuan, et al.
Published: (2025)

SWE-chat: Coding Agent Interactions From Real Users in the Wild
by: Baumann, Joachim, et al.
Published: (2026)

Long Chain-of-Thought Reasoning Across Languages
by: Barua, Josh, et al.
Published: (2025)

Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting
by: Young, Halley, et al.
Published: (2024)

Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning
by: Si, Wenwen, et al.
Published: (2026)

Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation
by: Hu, Zhe, et al.
Published: (2024)

Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
by: Si, Wenwen, et al.
Published: (2025)

Neural Retrievers are Biased Towards LLM-Generated Content
by: Dai, Sunhao, et al.
Published: (2023)

Modifying Large Language Model Post-Training for Diverse Creative Writing
by: Chung, John Joon Young, et al.
Published: (2025)

Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas
by: Hu, Xiang, et al.
Published: (2024)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
by: Xu, Kan, et al.
Published: (2021)

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

DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments
by: Tang, Wenjie, et al.
Published: (2025)

From Internal Representations to Text Quality: A Geometric Approach to LLM Evaluation
by: Yusupov, Viacheslav, et al.
Published: (2025)