Cover Image

Measuring the Inconsistency of Large Language Models in Preferential Ranking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xiutian, Wang, Ke, Peng, Wei
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization
by: Zhao, Xiutian, et al.
Published: (2024)

An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making
by: Zhao, Xiutian, et al.
Published: (2024)

Discovering and Causally Validating Emotion-Sensitive Neurons in Large Audio-Language Models
by: Zhao, Xiutian, et al.
Published: (2026)

A Survey on Hallucination in Large Vision-Language Models
by: Liu, Hanchao, et al.
Published: (2024)

Measuring Moral Inconsistencies in Large Language Models
by: Bonagiri, Vamshi Krishna, et al.
Published: (2024)

Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models
by: Zhao, Xiutian, et al.
Published: (2026)

Finding Culture-Sensitive Neurons in Vision-Language Models
by: Zhao, Xiutian, et al.
Published: (2025)

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
by: Zhao, Shiji, et al.
Published: (2025)

Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models
by: Xing, Xiaolin, et al.
Published: (2024)

Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
by: Semnani, Sina J., et al.
Published: (2025)

Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
by: Liu, Yiran, et al.
Published: (2024)

Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models
by: Yan, Ruiyi, et al.
Published: (2025)

Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges
by: Samuel, Vinay, et al.
Published: (2024)

AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
by: Song, Yifan, et al.
Published: (2024)

Inconsistencies in Masked Language Models
by: Young, Tom, et al.
Published: (2022)

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
by: Yang, Rui, et al.
Published: (2024)

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
by: Zeng, Yifan, et al.
Published: (2024)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
by: Shrivastava, Aryan, et al.
Published: (2024)

Ranked Voting based Self-Consistency of Large Language Models
by: Wang, Weiqin, et al.
Published: (2025)

MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
by: Zhang, Jingfan, et al.
Published: (2024)

Measuring Maximum Activations in Open Large Language Models
by: Chen, Luxuan, et al.
Published: (2026)

Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models
by: Wang, Mingyang, et al.
Published: (2025)

Flexora: Flexible Low Rank Adaptation for Large Language Models
by: Wei, Chenxing, et al.
Published: (2024)

Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization
by: Pan, Yurui, et al.
Published: (2026)

Measuring Spiritual Values and Bias of Large Language Models
by: Liu, Songyuan, et al.
Published: (2024)

RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models
by: Rodriguez, Juan Diego, et al.
Published: (2025)

ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
by: Liu, Zequan, et al.
Published: (2024)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
by: Wang, Yuhang, et al.
Published: (2023)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
by: Chen, Yiqun, et al.
Published: (2024)

Measuring Stereotype and Deviation Biases in Large Language Models
by: Wang, Daniel, et al.
Published: (2025)

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
by: Ma, Mingyu Derek, et al.
Published: (2025)

Multi-Conditional Ranking with Large Language Models
by: Pezeshkpour, Pouya, et al.
Published: (2024)

Modality-Inconsistent Continual Learning of Multimodal Large Language Models
by: Pian, Weiguo, et al.
Published: (2024)

Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models
by: Liu, Kainan, et al.
Published: (2026)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
by: Liu, Wenhan, et al.
Published: (2024)

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
by: Li, Yubo, et al.
Published: (2025)

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
by: Wei, Lai, et al.
Published: (2024)