How does Misinformation Affect Large Language Model Behaviors and Preferences?
Fuente:
arXiv
Saved in:
| Main Authors: | Peng, Miao, Chen, Nuo, Tang, Jianheng, Li, Jia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
by: Tang, Jianheng, et al.
Published: (2024)
by: Tang, Jianheng, et al.
Published: (2024)
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
by: Zheng, Yingming, et al.
Published: (2025)
by: Zheng, Yingming, et al.
Published: (2025)
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
by: Han, Chen, et al.
Published: (2025)
by: Han, Chen, et al.
Published: (2025)
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
by: Peng, Miao, et al.
Published: (2025)
by: Peng, Miao, et al.
Published: (2025)
The Oscars of AI Theater: A Survey on Role-Playing with Language Models
by: Chen, Nuo, et al.
Published: (2024)
by: Chen, Nuo, et al.
Published: (2024)
Aligning Large Language Model Behavior with Human Citation Preferences
by: Ando, Kenichiro, et al.
Published: (2026)
by: Ando, Kenichiro, et al.
Published: (2026)
Misinformation Detection using Large Language Models with Explainability
by: Patel, Jainee, et al.
Published: (2025)
by: Patel, Jainee, et al.
Published: (2025)
ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
by: Han, Feijiang, et al.
Published: (2025)
by: Han, Feijiang, et al.
Published: (2025)
Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping
by: Peng, Miao, et al.
Published: (2026)
by: Peng, Miao, et al.
Published: (2026)
GraphWiz: An Instruction-Following Language Model for Graph Problems
by: Chen, Nuo, et al.
Published: (2024)
by: Chen, Nuo, et al.
Published: (2024)
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)
by: Zheng, Hao, et al.
Published: (2025)
Weights-Rotated Preference Optimization for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)
by: Yang, Chenxu, et al.
Published: (2025)
NPG-Muse: Scaling Long Chain-of-Thought Reasoning with NP-Hard Graph Problems
by: Wang, Yuyao, et al.
Published: (2025)
by: Wang, Yuyao, et al.
Published: (2025)
Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
by: Zhu, Jian-Qiao, et al.
Published: (2025)
by: Zhu, Jian-Qiao, et al.
Published: (2025)
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models
by: Liu, Shuliang, et al.
Published: (2025)
by: Liu, Shuliang, et al.
Published: (2025)
Aligning Large Language Models with Searcher Preferences
by: Wu, Wei, et al.
Published: (2026)
by: Wu, Wei, et al.
Published: (2026)
Preference Packing: Efficient Preference Optimization for Large Language Models
by: Cho, Jaekyung
Published: (2026)
by: Cho, Jaekyung
Published: (2026)
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
by: Salinas, Abel, et al.
Published: (2024)
by: Salinas, Abel, et al.
Published: (2024)
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
by: Qi, Peng, et al.
Published: (2024)
by: Qi, Peng, et al.
Published: (2024)
Where does In-context Translation Happen in Large Language Models
by: Sia, Suzanna, et al.
Published: (2024)
by: Sia, Suzanna, et al.
Published: (2024)
When Quantization Affects Confidence of Large Language Models?
by: Proskurina, Irina, et al.
Published: (2024)
by: Proskurina, Irina, et al.
Published: (2024)
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
by: Dong, Guanting, et al.
Published: (2023)
by: Dong, Guanting, et al.
Published: (2023)
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
by: Huang, Jianheng, et al.
Published: (2024)
by: Huang, Jianheng, et al.
Published: (2024)
Cross-Modal Knowledge Distillation for Speech Large Language Models
by: Wang, Enzhi, et al.
Published: (2025)
by: Wang, Enzhi, et al.
Published: (2025)
Behavioral Fingerprinting of Large Language Models
by: Pei, Zehua, et al.
Published: (2025)
by: Pei, Zehua, et al.
Published: (2025)
Self-Boosting Large Language Models with Synthetic Preference Data
by: Dong, Qingxiu, et al.
Published: (2024)
by: Dong, Qingxiu, et al.
Published: (2024)
Subjective Behaviors and Preferences in LLM: Language of Browsing
by: Sundaresan, Sai, et al.
Published: (2025)
by: Sundaresan, Sai, et al.
Published: (2025)
How does a Multilingual LM Handle Multiple Languages?
by: Kakarla, Santhosh, et al.
Published: (2025)
by: Kakarla, Santhosh, et al.
Published: (2025)
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
by: Aremu, Toluwani, et al.
Published: (2024)
by: Aremu, Toluwani, et al.
Published: (2024)
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
by: Chen, Nuo, et al.
Published: (2023)
by: Chen, Nuo, et al.
Published: (2023)
How Large Language Models Need Symbolism
by: Deng, Xiaotie, et al.
Published: (2025)
by: Deng, Xiaotie, et al.
Published: (2025)
Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals
by: Li, Jia-Nan, et al.
Published: (2025)
by: Li, Jia-Nan, et al.
Published: (2025)
Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
by: Hoang, Cuong, et al.
Published: (2026)
by: Hoang, Cuong, et al.
Published: (2026)
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
by: Zhang, Rongzhi, et al.
Published: (2024)
by: Zhang, Rongzhi, et al.
Published: (2024)
How Different AI Chatbots Behave? Benchmarking Large Language Models in Behavioral Economics Games
by: Xie, Yutong, et al.
Published: (2024)
by: Xie, Yutong, et al.
Published: (2024)
Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)
by: Wang, Bing, et al.
Published: (2026)
Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment
by: Huang, Yucong, et al.
Published: (2026)
by: Huang, Yucong, et al.
Published: (2026)
How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles
by: Kuai, Chenchen, et al.
Published: (2026)
by: Kuai, Chenchen, et al.
Published: (2026)
Large Language Models for Predictive Analysis: How Far Are They?
by: Chen, Qin, et al.
Published: (2025)
by: Chen, Qin, et al.
Published: (2025)
ControlMath: Controllable Data Generation Promotes Math Generalist Models
by: Chen, Nuo, et al.
Published: (2024)
by: Chen, Nuo, et al.
Published: (2024)
Similar Items
-
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
by: Tang, Jianheng, et al.
Published: (2024) -
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
by: Zheng, Yingming, et al.
Published: (2025) -
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
by: Han, Chen, et al.
Published: (2025) -
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
by: Peng, Miao, et al.
Published: (2025) -
The Oscars of AI Theater: A Survey on Role-Playing with Language Models
by: Chen, Nuo, et al.
Published: (2024)