Cover Image

The statistical advantage of automatic NLG metrics at the system level

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Johnny Tian-Zheng, Jia, Robin
Format:	Preprint
Published:	2021
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
by: Niwa, Ayana, et al.
Published: (2024)

Proving membership in LLM pretraining data via data watermarks
by: Wei, Johnny Tian-Zheng, et al.
Published: (2024)

Spiking the training data to correct for test set contamination
by: Wei, Johnny Tian-Zheng, et al.
Published: (2026)

Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)

Interrogating LLM design under a fair learning doctrine
by: Wei, Johnny Tian-Zheng, et al.
Published: (2025)

NLG Evaluation: Past, Present, Future
by: Reiter, Ehud
Published: (2026)

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
by: Li, Zhen, et al.
Published: (2024)

Integration of LLM Quality Assurance into an NLG System
by: Chen, Ching-Yi, et al.
Published: (2025)

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
by: Tang, Tianyi, et al.
Published: (2023)

Are LLM-based Evaluators Confusing NLG Quality Criteria?
by: Hu, Xinyu, et al.
Published: (2024)

Large Language Models Are Active Critics in NLG Evaluation
by: Xu, Shuying, et al.
Published: (2024)

LLM-based NLG Evaluation: Current Status and Challenges
by: Gao, Mingqi, et al.
Published: (2024)

Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
by: Sheng, Shuqian, et al.
Published: (2024)

Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
by: Gao, Mingqi, et al.
Published: (2024)

What makes a good metric? Evaluating automatic metrics for text-to-image consistency
by: Ross, Candace, et al.
Published: (2024)

DHP Benchmark: Are LLMs Good NLG Evaluators?
by: Wang, Yicheng, et al.
Published: (2024)

Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators
by: Chang, Jiayi, et al.
Published: (2025)

How to Select Datapoints for Efficient Human Evaluation of NLG Models?
by: Zouhar, Vilém, et al.
Published: (2025)

OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs
by: Kartáč, Ivan, et al.
Published: (2025)

From Instruction to Output: The Role of Prompting in Modern NLG
by: Zaib, Munazza, et al.
Published: (2026)

MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels
by: Liu, Xiaoou, et al.
Published: (2025)

TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability
by: Khan, Mohammad Aflah, et al.
Published: (2025)

A Systematic Review of Data-to-Text NLG
by: Osuji, Chinonso Cynthia, et al.
Published: (2024)

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
by: Hu, Xinyu, et al.
Published: (2024)

TailNLG: A Multilingual Benchmark Addressing Verbalization of Long-Tail Entities
by: Draetta, Lia, et al.
Published: (2026)

What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025
by: Yang, Jing, et al.
Published: (2026)

IFDID: Information Filter upon Diversity-Improved Decoding for Diversity-Faithfulness Tradeoff in NLG
by: Meng, Han, et al.
Published: (2022)

A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
by: Hu, Xinyu, et al.
Published: (2025)

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
by: Hong, Hanhua, et al.
Published: (2025)

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
by: Ruan, Jie, et al.
Published: (2024)

Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models
by: Chen, Yiming, et al.
Published: (2024)

Direct-Scoring NLG Evaluators Can Use Pairwise Comparisons Too
by: Lawrence, Logan, et al.
Published: (2025)

LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
by: Liusie, Adian, et al.
Published: (2023)

Operationalizing content moderation "accuracy" in the Digital Services Act
by: Wei, Johnny Tian-Zheng, et al.
Published: (2023)

SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text
by: Ghosh, Reshmi, et al.
Published: (2024)

"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors
by: Lucy, Li, et al.
Published: (2023)

Hubble: a Model Suite to Advance the Study of LLM Memorization
by: Wei, Johnny Tian-Zheng, et al.
Published: (2025)

Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation
by: Ruan, Jie, et al.
Published: (2024)

ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
by: Yang, Bang, et al.
Published: (2023)

LLM Agents Implement an NLG System from Scratch: Building Interpretable Rule-Based RDF-to-Text Generators
by: Lango, Mateusz, et al.
Published: (2025)