xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Qingchen, Zheng, Zifan, Song, Shichao, Li, Zhiyu, Xiong, Feiyu, Tang, Bo, Chen, Ding |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Grimoire is All You Need for Enhancing Large Language Models
by: Chen, Ding, et al.
Published: (2024)
by: Chen, Ding, et al.
Published: (2024)
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
by: Yu, Qingchen, et al.
Published: (2025)
by: Yu, Qingchen, et al.
Published: (2025)
Attention Heads of Large Language Models: A Survey
by: Zheng, Zifan, et al.
Published: (2024)
by: Zheng, Zifan, et al.
Published: (2024)
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles
by: Yu, Qingchen, et al.
Published: (2024)
by: Yu, Qingchen, et al.
Published: (2024)
Internal Consistency and Self-Feedback in Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)
by: Liang, Xun, et al.
Published: (2024)
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
by: Chen, Ding, et al.
Published: (2025)
by: Chen, Ding, et al.
Published: (2025)
SurveyX: Academic Survey Automation via Large Language Models
by: Liang, Xun, et al.
Published: (2025)
by: Liang, Xun, et al.
Published: (2025)
HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability
by: Chen, Yanfang, et al.
Published: (2024)
by: Chen, Yanfang, et al.
Published: (2024)
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
by: Liang, Xun, et al.
Published: (2024)
by: Liang, Xun, et al.
Published: (2024)
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models
by: Liang, Xun, et al.
Published: (2025)
by: Liang, Xun, et al.
Published: (2025)
HaluMem: Evaluating Hallucinations in Memory Systems of Agents
by: Chen, Ding, et al.
Published: (2025)
by: Chen, Ding, et al.
Published: (2025)
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
by: Ying, Jiahao, et al.
Published: (2024)
by: Ying, Jiahao, et al.
Published: (2024)
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
by: Liang, Xun, et al.
Published: (2023)
by: Liang, Xun, et al.
Published: (2023)
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
by: Liang, Xun, et al.
Published: (2024)
by: Liang, Xun, et al.
Published: (2024)
MemReader: From Passive to Active Extraction for Long-Term Agent Memory
by: Kang, Jingyi, et al.
Published: (2026)
by: Kang, Jingyi, et al.
Published: (2026)
MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
by: Li, Zhiyu, et al.
Published: (2025)
by: Li, Zhiyu, et al.
Published: (2025)
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
by: Li, Miao, et al.
Published: (2024)
by: Li, Miao, et al.
Published: (2024)
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
by: Zhu, Junyi, et al.
Published: (2024)
by: Zhu, Junyi, et al.
Published: (2024)
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
by: Lyu, Yuanjie, et al.
Published: (2024)
by: Lyu, Yuanjie, et al.
Published: (2024)
MemFactory: Unified Inference & Training Framework for Agent Memory
by: Guo, Ziliang, et al.
Published: (2026)
by: Guo, Ziliang, et al.
Published: (2026)
Evaluating Proactive Risk Awareness of Large Language Models
by: Luo, Xuan, et al.
Published: (2026)
by: Luo, Xuan, et al.
Published: (2026)
Controllable Text Generation for Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)
by: Liang, Xun, et al.
Published: (2024)
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models
by: Li, Yiyuan, et al.
Published: (2024)
by: Li, Yiyuan, et al.
Published: (2024)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)
by: Wei, Shou'ang, et al.
Published: (2025)
Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models
by: Zhang, Yang, et al.
Published: (2025)
by: Zhang, Yang, et al.
Published: (2025)
Text2Mem: A Unified Memory Operation Language for Memory Operating System
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems
by: Zhao, Jihao, et al.
Published: (2026)
by: Zhao, Jihao, et al.
Published: (2026)
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models
by: Yu, Yongan, et al.
Published: (2025)
by: Yu, Yongan, et al.
Published: (2025)
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
by: Zhu, Yu, et al.
Published: (2024)
by: Zhu, Yu, et al.
Published: (2024)
GRAPHMOE: Amplifying Cognitive Depth of Mixture-of-Experts Network via Introducing Self-Rethinking Mechanism
by: Lv, Bo, et al.
Published: (2025)
by: Lv, Bo, et al.
Published: (2025)
Evaluating the Reliability of Self-Explanations in Large Language Models
by: Randl, Korbinian, et al.
Published: (2024)
by: Randl, Korbinian, et al.
Published: (2024)
MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
by: Li, Chunyu, et al.
Published: (2026)
by: Li, Chunyu, et al.
Published: (2026)
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
by: Liu, Hongyi, et al.
Published: (2026)
by: Liu, Hongyi, et al.
Published: (2026)
Gender Bias in Large Language Models across Multiple Languages
by: Zhao, Jinman, et al.
Published: (2024)
by: Zhao, Jinman, et al.
Published: (2024)
$\text{Memory}^3$: Language Modeling with Explicit Memory
by: Yang, Hongkang, et al.
Published: (2024)
by: Yang, Hongkang, et al.
Published: (2024)
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2024)
by: Wang, Shuai, et al.
Published: (2024)
Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
by: Li, Qintong, et al.
Published: (2023)
by: Li, Qintong, et al.
Published: (2023)
Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
by: Zhou, Shuang, et al.
Published: (2025)
by: Zhou, Shuang, et al.
Published: (2025)
LFED: A Literary Fiction Evaluation Dataset for Large Language Models
by: Yu, Linhao, et al.
Published: (2024)
by: Yu, Linhao, et al.
Published: (2024)
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
by: Xiong, Guangzhi, et al.
Published: (2025)
by: Xiong, Guangzhi, et al.
Published: (2025)
Similar Items
-
Grimoire is All You Need for Enhancing Large Language Models
by: Chen, Ding, et al.
Published: (2024) -
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
by: Yu, Qingchen, et al.
Published: (2025) -
Attention Heads of Large Language Models: A Survey
by: Zheng, Zifan, et al.
Published: (2024) -
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles
by: Yu, Qingchen, et al.
Published: (2024) -
Internal Consistency and Self-Feedback in Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)