Saved in:
| Main Authors: | Liew, Yee Zhing, Tan, Andrew Huey Ping, Majeed, Anwar P. P. Abdul |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.00939 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Randomness and Interpolation Improve Gradient Descent
by: Li, Jiawen, et al.
Published: (2025)
by: Li, Jiawen, et al.
Published: (2025)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)
by: Sawczyn, Albert, et al.
Published: (2025)
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
by: Pan, Jiachun, et al.
Published: (2023)
by: Pan, Jiachun, et al.
Published: (2023)
Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
by: Nwafor, Obumneme, et al.
Published: (2025)
by: Nwafor, Obumneme, et al.
Published: (2025)
Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts
by: Gupta, Raavi, et al.
Published: (2025)
by: Gupta, Raavi, et al.
Published: (2025)
A Function-Centric Perspective on Flat and Sharp Minima
by: Mason-Williams, Israel, et al.
Published: (2025)
by: Mason-Williams, Israel, et al.
Published: (2025)
From Flows to Words: Can Zero-/Few-Shot LLMs Detect Network Intrusions? A Grammar-Constrained, Calibrated Evaluation on UNSW-NB15
by: Rehman, Mohammad Abdul, et al.
Published: (2025)
by: Rehman, Mohammad Abdul, et al.
Published: (2025)
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
by: Asad, Muhammad Hamza, et al.
Published: (2023)
by: Asad, Muhammad Hamza, et al.
Published: (2023)
Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman
by: Nwafor, Obumneme Zimuzor, et al.
Published: (2025)
by: Nwafor, Obumneme Zimuzor, et al.
Published: (2025)
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
by: Chen, Shiqi, et al.
Published: (2024)
by: Chen, Shiqi, et al.
Published: (2024)
Halfway Escape Optimization: A Quantum-Inspired Solution for General Optimization Problems
by: Li, Jiawen, et al.
Published: (2024)
by: Li, Jiawen, et al.
Published: (2024)
A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization
by: Li, Tianle, et al.
Published: (2025)
by: Li, Tianle, et al.
Published: (2025)
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
by: Luo, Haocheng, et al.
Published: (2025)
by: Luo, Haocheng, et al.
Published: (2025)
In Praise of Stubbornness: An Empirical Case for Cognitive-Dissonance Aware Continual Update of Knowledge in LLMs
by: Clemente, Simone, et al.
Published: (2025)
by: Clemente, Simone, et al.
Published: (2025)
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
by: Rahman, Subhey Sadi, et al.
Published: (2025)
by: Rahman, Subhey Sadi, et al.
Published: (2025)
Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector
by: Agand, Pedram
Published: (2026)
by: Agand, Pedram
Published: (2026)
FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models
by: Tan, Likun, et al.
Published: (2025)
by: Tan, Likun, et al.
Published: (2025)
DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm
by: Liu, Junkang, et al.
Published: (2025)
by: Liu, Junkang, et al.
Published: (2025)
X-SAM: Boosting Sharpness-Aware Minimization with Dominant-Eigenvector Gradient Correction
by: Duan, Hongru, et al.
Published: (2026)
by: Duan, Hongru, et al.
Published: (2026)
HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
Value Bonuses using Ensemble Errors for Exploration in Reinforcement Learning
by: Wahab, Abdul, et al.
Published: (2026)
by: Wahab, Abdul, et al.
Published: (2026)
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook
by: Ibrahimov, Yusif, et al.
Published: (2024)
by: Ibrahimov, Yusif, et al.
Published: (2024)
Innovation: An Almost Characterization of Hallucination
by: Das, Nishant P., et al.
Published: (2026)
by: Das, Nishant P., et al.
Published: (2026)
ColA: Collaborative Adaptation with Gradient Learning
by: Diao, Enmao, et al.
Published: (2024)
by: Diao, Enmao, et al.
Published: (2024)
Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research
by: Zhu, Jessica, et al.
Published: (2024)
by: Zhu, Jessica, et al.
Published: (2024)
Tractable Sharpness-Aware Learning of Probabilistic Circuits
by: Suresh, Hrithik, et al.
Published: (2025)
by: Suresh, Hrithik, et al.
Published: (2025)
Bolster Hallucination Detection via Prompt-Guided Data Augmentation
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
Hallucination Detection via Activations of Open-Weight Proxy Analyzers
by: Singh, Akshita, et al.
Published: (2026)
by: Singh, Akshita, et al.
Published: (2026)
SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection
by: Jan, Baber, et al.
Published: (2025)
by: Jan, Baber, et al.
Published: (2025)
Spectral Geometry for Deep Learning: Compression and Hallucination Detection via Random Matrix Theory
by: Ettori, Davide
Published: (2026)
by: Ettori, Davide
Published: (2026)
AI-Generated Text Detection in Low-Resource Languages: A Case Study on Urdu
by: Ammar, Muhammad, et al.
Published: (2025)
by: Ammar, Muhammad, et al.
Published: (2025)
Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
by: Deng, Yongxin, et al.
Published: (2026)
by: Deng, Yongxin, et al.
Published: (2026)
Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization
by: Gu, Yujie, et al.
Published: (2026)
by: Gu, Yujie, et al.
Published: (2026)
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy
by: Tan, Chengli, et al.
Published: (2024)
by: Tan, Chengli, et al.
Published: (2024)
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
by: Suresh, Praneet, et al.
Published: (2025)
by: Suresh, Praneet, et al.
Published: (2025)
Principled Detection of Hallucinations in Large Language Models via Multiple Testing
by: Li, Jiawei, et al.
Published: (2025)
by: Li, Jiawei, et al.
Published: (2025)
Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models
by: Jang, Doohyuk, et al.
Published: (2025)
by: Jang, Doohyuk, et al.
Published: (2025)
Learning to Reason for Hallucination Span Detection
by: Su, Hsuan, et al.
Published: (2025)
by: Su, Hsuan, et al.
Published: (2025)
Steer LLM Latents for Hallucination Detection
by: Park, Seongheon, et al.
Published: (2025)
by: Park, Seongheon, et al.
Published: (2025)
Similar Items
-
Randomness and Interpolation Improve Gradient Descent
by: Li, Jiawen, et al.
Published: (2025) -
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025) -
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
by: Chen, Xiang, et al.
Published: (2023) -
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
by: Pan, Jiachun, et al.
Published: (2023) -
Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
by: Nwafor, Obumneme, et al.
Published: (2025)