Co-occurring keywords · papers mentioning both
Papers
Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models
EACL 2026
Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness
ACL 2026
Attributive Reasoning for Hallucination Diagnosis of Large Language Models
AAAI 2025
Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
EMNLP 2025
Internal states before wait modulate reasoning patterns
EMNLP 2025
Prompt-Guided Internal States for Hallucination Detection of Large Language Models
ACL 2025
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
ACL 2025
TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention
ICCV 2025
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
ICLR 2024
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States
EMNLP 2024
LLM Internal States Reveal Hallucination Risk Faced With a Query
EMNLP 2024
RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State
EMNLP 2024
Redefining Proactivity for Information Seeking Dialogue
EMNLP 2024
Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
ACL 2024
Teaching to Learn: Sequential Teaching of Learners with Internal States
AAAI 2023
The Internal State of an LLM Knows When It’s Lying
EMNLP 2023
Scaffolded input promotes atomic organization in the recurrent neural network language model
CoNLL 2021