Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Zhen, Xu, Xiaohan, Shen, Tao, Xu, Can, Gu, Jia-Chen, Lai, Yuxuan, Tao, Chongyang, Ma, Shuai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Re-Reading Improves Reasoning in Large Language Models
by: Xu, Xiaohan, et al.
Published: (2023)
by: Xu, Xiaohan, et al.
Published: (2023)
A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024)
by: Xu, Xiaohan, et al.
Published: (2024)
Large Language Models Are Active Critics in NLG Evaluation
by: Xu, Shuying, et al.
Published: (2024)
by: Xu, Shuying, et al.
Published: (2024)
LLMs are Also Effective Embedding Models: An In-depth Overview
by: Tao, Chongyang, et al.
Published: (2024)
by: Tao, Chongyang, 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)
by: Chen, Yiming, et al.
Published: (2024)
A Comprehensive Evaluation on Event Reasoning of Large Language Models
by: Tao, Zhengwei, et al.
Published: (2024)
by: Tao, Zhengwei, et al.
Published: (2024)
LLM-based NLG Evaluation: Current Status and Challenges
by: Gao, Mingqi, et al.
Published: (2024)
by: Gao, Mingqi, et al.
Published: (2024)
Meta-Task Prompting Elicits Embeddings from Large Language Models
by: Lei, Yibin, et al.
Published: (2024)
by: Lei, Yibin, et al.
Published: (2024)
Are LLM-based Evaluators Confusing NLG Quality Criteria?
by: Hu, Xinyu, et al.
Published: (2024)
by: Hu, Xinyu, et al.
Published: (2024)
Adam: Dense Retrieval Distillation with Adaptive Dark Examples
by: Tao, Chongyang, et al.
Published: (2022)
by: Tao, Chongyang, et al.
Published: (2022)
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023)
by: Luo, Ziyang, et al.
Published: (2023)
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
by: Hu, Xinyu, et al.
Published: (2024)
by: Hu, Xinyu, et al.
Published: (2024)
Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
by: Sheng, Shuqian, et al.
Published: (2024)
by: Sheng, Shuqian, et al.
Published: (2024)
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
by: Li, Yang, et al.
Published: (2022)
by: Li, Yang, et al.
Published: (2022)
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
by: Gao, Mingqi, et al.
Published: (2024)
by: Gao, Mingqi, et al.
Published: (2024)
Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
by: Tao, Zhen, et al.
Published: (2024)
by: Tao, Zhen, et al.
Published: (2024)
NLG Evaluation: Past, Present, Future
by: Reiter, Ehud
Published: (2026)
by: Reiter, Ehud
Published: (2026)
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
by: Liusie, Adian, et al.
Published: (2023)
by: Liusie, Adian, et al.
Published: (2023)
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
by: Niwa, Ayana, et al.
Published: (2024)
by: Niwa, Ayana, et al.
Published: (2024)
Neighboring Perturbations of Knowledge Editing on Large Language Models
by: Ma, Jun-Yu, et al.
Published: (2024)
by: Ma, Jun-Yu, et al.
Published: (2024)
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)
by: Yang, Yuncheng, et al.
Published: (2024)
Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
by: Xie, Jiacheng, et al.
Published: (2025)
by: Xie, Jiacheng, et al.
Published: (2025)
How to Select Datapoints for Efficient Human Evaluation of NLG Models?
by: Zouhar, Vilém, et al.
Published: (2025)
by: Zouhar, Vilém, et al.
Published: (2025)
MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels
by: Liu, Xiaoou, et al.
Published: (2025)
by: Liu, Xiaoou, et al.
Published: (2025)
CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer
by: Tao, Zhen, et al.
Published: (2024)
by: Tao, Zhen, et al.
Published: (2024)
Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
by: Zou, Shun, et al.
Published: (2026)
by: Zou, Shun, et al.
Published: (2026)
Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators
by: Chang, Jiayi, et al.
Published: (2025)
by: Chang, Jiayi, et al.
Published: (2025)
The statistical advantage of automatic NLG metrics at the system level
by: Wei, Johnny Tian-Zheng, et al.
Published: (2021)
by: Wei, Johnny Tian-Zheng, et al.
Published: (2021)
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
by: Gu, Jia-Chen, et al.
Published: (2024)
by: Gu, Jia-Chen, et al.
Published: (2024)
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)
by: Luo, Haipeng, et al.
Published: (2023)
Evaluating Large Language Models for Evidence-Based Clinical Question Answering
by: Wang, Can, et al.
Published: (2025)
by: Wang, Can, et al.
Published: (2025)
DHP Benchmark: Are LLMs Good NLG Evaluators?
by: Wang, Yicheng, et al.
Published: (2024)
by: Wang, Yicheng, et al.
Published: (2024)
AutoWebGLM: A Large Language Model-based Web Navigating Agent
by: Lai, Hanyu, et al.
Published: (2024)
by: Lai, Hanyu, et al.
Published: (2024)
Evaluating the Reversal Curse in Model Editing
by: Xu, Hao-Xiang, et al.
Published: (2023)
by: Xu, Hao-Xiang, et al.
Published: (2023)
AIR: Post-training Data Selection for Reasoning via Attention Head Influence
by: Liu, Jinrui, et al.
Published: (2025)
by: Liu, Jinrui, et al.
Published: (2025)
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
by: Tang, Tianyi, et al.
Published: (2023)
by: Tang, Tianyi, et al.
Published: (2023)
Playing 20 Question Game with Policy-Based Reinforcement Learning
by: Hu, Huang, et al.
Published: (2018)
by: Hu, Huang, et al.
Published: (2018)
EvolSQL: Structure-Aware Evolution for Scalable Text-to-SQL Data Synthesis
by: Pan, Xuanguang, et al.
Published: (2026)
by: Pan, Xuanguang, et al.
Published: (2026)
Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?
by: Shen, Hao, et al.
Published: (2024)
by: Shen, Hao, et al.
Published: (2024)
Similar Items
-
Re-Reading Improves Reasoning in Large Language Models
by: Xu, Xiaohan, et al.
Published: (2023) -
A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024) -
Large Language Models Are Active Critics in NLG Evaluation
by: Xu, Shuying, et al.
Published: (2024) -
LLMs are Also Effective Embedding Models: An In-depth Overview
by: Tao, Chongyang, 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)