Saved in:
| Main Authors: | Berberette, Elijah, Hutchins, Jack, Sadovnik, Amir |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.01769 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing NLP Security by Leveraging LLMs as Adversarial Engines
by: Srinivasan, Sudarshan, et al.
Published: (2024)
by: Srinivasan, Sudarshan, et al.
Published: (2024)
Correcting misinformation on social media with a large language model
by: Zhou, Xinyi, et al.
Published: (2024)
by: Zhou, Xinyi, et al.
Published: (2024)
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs
by: Yadav, Ankit, et al.
Published: (2024)
by: Yadav, Ankit, et al.
Published: (2024)
Exploring the psychology of LLMs' Moral and Legal Reasoning
by: Almeida, Guilherme F. C. F., et al.
Published: (2023)
by: Almeida, Guilherme F. C. F., et al.
Published: (2023)
Deterministic or probabilistic? The psychology of LLMs as random number generators
by: Coronado-Blázquez, Javier
Published: (2025)
by: Coronado-Blázquez, Javier
Published: (2025)
A Geometric Taxonomy of Hallucinations in LLMs
by: Marín, Javier
Published: (2026)
by: Marín, Javier
Published: (2026)
Hallucination Detection with the Internal Layers of LLMs
by: Preiß, Martin
Published: (2025)
by: Preiß, Martin
Published: (2025)
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)
Hallucination is Inevitable for LLMs with the Open World Assumption
by: Xu, Bowen
Published: (2025)
by: Xu, Bowen
Published: (2025)
The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs
by: Bui, Anh Thu Maria, et al.
Published: (2024)
by: Bui, Anh Thu Maria, et al.
Published: (2024)
Towards Long Context Hallucination Detection
by: Liu, Siyi, et al.
Published: (2025)
by: Liu, Siyi, et al.
Published: (2025)
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
by: Sato, Makoto
Published: (2025)
by: Sato, Makoto
Published: (2025)
How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
by: Islam, Saad Obaid ul, et al.
Published: (2025)
by: Islam, Saad Obaid ul, et al.
Published: (2025)
SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
by: Bazarova, Alexandra, et al.
Published: (2025)
by: Bazarova, Alexandra, et al.
Published: (2025)
Can Hallucinations Help? Boosting LLMs for Drug Discovery
by: Yuan, Shuzhou, et al.
Published: (2025)
by: Yuan, Shuzhou, et al.
Published: (2025)
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
by: Khadangi, Afshin, et al.
Published: (2025)
by: Khadangi, Afshin, et al.
Published: (2025)
A Statistical Physics of Language Model Reasoning
by: Carson, Jack David, et al.
Published: (2025)
by: Carson, Jack David, et al.
Published: (2025)
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
by: Tomani, Christian, et al.
Published: (2024)
by: Tomani, Christian, et al.
Published: (2024)
Look Within, Why LLMs Hallucinate: A Causal Perspective
by: Li, He, et al.
Published: (2024)
by: Li, He, et al.
Published: (2024)
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
by: Gogoulou, Evangelia, et al.
Published: (2025)
by: Gogoulou, Evangelia, et al.
Published: (2025)
Graphing the Truth: Structured Visualizations for Automated Hallucination Detection in LLMs
by: Agrawal, Tanmay
Published: (2025)
by: Agrawal, Tanmay
Published: (2025)
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026)
by: Sun, Zhongxiang, et al.
Published: (2026)
Cost-Effective Hallucination Detection for LLMs
by: Valentin, Simon, et al.
Published: (2024)
by: Valentin, Simon, et al.
Published: (2024)
Redefining Proactivity for Information Seeking Dialogue
by: Lee, Jing Yang, et al.
Published: (2024)
by: Lee, Jing Yang, et al.
Published: (2024)
Redefining technology for indigenous languages
by: Fernandez-Sabido, Silvia, et al.
Published: (2025)
by: Fernandez-Sabido, Silvia, et al.
Published: (2025)
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
by: Tang, Liyan, et al.
Published: (2024)
by: Tang, Liyan, et al.
Published: (2024)
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
by: Bao, Forrest Sheng, et al.
Published: (2024)
by: Bao, Forrest Sheng, et al.
Published: (2024)
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
by: Zhang, Xiaoying, et al.
Published: (2024)
by: Zhang, Xiaoying, et al.
Published: (2024)
Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
by: Kale, Sahil, et al.
Published: (2025)
by: Kale, Sahil, et al.
Published: (2025)
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)
Does Less Hallucination Mean Less Creativity? An Empirical Investigation in LLMs
by: Banerjee, Mohor, et al.
Published: (2025)
by: Banerjee, Mohor, et al.
Published: (2025)
Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs
by: Vaddi, Snehit, et al.
Published: (2026)
by: Vaddi, Snehit, et al.
Published: (2026)
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
by: Zhang, Chaowei, et al.
Published: (2025)
by: Zhang, Chaowei, et al.
Published: (2025)
AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
by: Matys, Piotr, et al.
Published: (2025)
by: Matys, Piotr, et al.
Published: (2025)
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
by: Zhang, Zhenliang, et al.
Published: (2025)
by: Zhang, Zhenliang, et al.
Published: (2025)
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025)
by: Taubenfeld, Amir, et al.
Published: (2025)
PsyMem: Fine-grained psychological alignment and Explicit Memory Control for Advanced Role-Playing LLMs
by: Cheng, Xilong, et al.
Published: (2025)
by: Cheng, Xilong, et al.
Published: (2025)
H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs
by: Gao, Cheng, et al.
Published: (2025)
by: Gao, Cheng, et al.
Published: (2025)
Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)
by: Luo, Junliang, et al.
Published: (2024)
Similar Items
-
Advancing NLP Security by Leveraging LLMs as Adversarial Engines
by: Srinivasan, Sudarshan, et al.
Published: (2024) -
Correcting misinformation on social media with a large language model
by: Zhou, Xinyi, et al.
Published: (2024) -
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs
by: Yadav, Ankit, et al.
Published: (2024) -
Exploring the psychology of LLMs' Moral and Legal Reasoning
by: Almeida, Guilherme F. C. F., et al.
Published: (2023) -
Deterministic or probabilistic? The psychology of LLMs as random number generators
by: Coronado-Blázquez, Javier
Published: (2025)