Inside-Out: Hidden Factual Knowledge in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Gekhman, Zorik, David, Eyal Ben, Orgad, Hadas, Ofek, Eran, Belinkov, Yonatan, Szpektor, Idan, Herzig, Jonathan, Reichart, Roi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024)
by: Orgad, Hadas, et al.
Published: (2024)
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2026)
by: Gekhman, Zorik, et al.
Published: (2026)
HACK: Hallucinations Along Certainty and Knowledge Axes
by: Simhi, Adi, et al.
Published: (2025)
by: Simhi, Adi, et al.
Published: (2025)
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
by: Calderon, Nitay, et al.
Published: (2026)
by: Calderon, Nitay, et al.
Published: (2026)
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
by: Gekhman, Zorik, et al.
Published: (2024)
by: Gekhman, Zorik, et al.
Published: (2024)
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs
by: Simhi, Adi, et al.
Published: (2024)
by: Simhi, Adi, et al.
Published: (2024)
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
by: Nahum, Omer, et al.
Published: (2024)
by: Nahum, Omer, et al.
Published: (2024)
Distinguishing Ignorance from Error in LLM Hallucinations
by: Simhi, Adi, et al.
Published: (2024)
by: Simhi, Adi, et al.
Published: (2024)
Can LLMs Learn Macroeconomic Narratives from Social Media?
by: Gueta, Almog, et al.
Published: (2024)
by: Gueta, Almog, et al.
Published: (2024)
ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs
by: Simhi, Adi, et al.
Published: (2025)
by: Simhi, Adi, et al.
Published: (2025)
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
by: Arad, Dana, et al.
Published: (2023)
by: Arad, Dana, et al.
Published: (2023)
Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
by: Peisakhovsky, Yehonatan, et al.
Published: (2025)
by: Peisakhovsky, Yehonatan, et al.
Published: (2025)
NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024)
by: Ventura, Mor, et al.
Published: (2024)
Measuring the Robustness of NLP Models to Domain Shifts
by: Calderon, Nitay, et al.
Published: (2023)
by: Calderon, Nitay, et al.
Published: (2023)
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025)
by: Taubenfeld, Amir, et al.
Published: (2025)
Position-aware Automatic Circuit Discovery
by: Haklay, Tal, et al.
Published: (2025)
by: Haklay, Tal, et al.
Published: (2025)
DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs
by: Cattan, Arie, et al.
Published: (2025)
by: Cattan, Arie, et al.
Published: (2025)
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines
by: Toker, Michael, et al.
Published: (2024)
by: Toker, Michael, et al.
Published: (2024)
DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
by: Ventura, Mor, et al.
Published: (2025)
by: Ventura, Mor, et al.
Published: (2025)
Multilingual Instruction Tuning With Just a Pinch of Multilinguality
by: Shaham, Uri, et al.
Published: (2024)
by: Shaham, Uri, et al.
Published: (2024)
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
by: Toker, Michael, et al.
Published: (2025)
by: Toker, Michael, et al.
Published: (2025)
Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
by: Yanuka, Moran, et al.
Published: (2024)
by: Yanuka, Moran, et al.
Published: (2024)
DEPTH: Discourse Education through Pre-Training Hierarchically
by: Bamberger, Zachary, et al.
Published: (2024)
by: Bamberger, Zachary, et al.
Published: (2024)
Unified Concept Editing in Diffusion Models
by: Gandikota, Rohit, et al.
Published: (2023)
by: Gandikota, Rohit, et al.
Published: (2023)
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models
by: Ventura, Mor, et al.
Published: (2023)
by: Ventura, Mor, et al.
Published: (2023)
Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism
by: Orgad, Hadas, et al.
Published: (2026)
by: Orgad, Hadas, et al.
Published: (2026)
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
by: Nakash, Itay, et al.
Published: (2025)
by: Nakash, Itay, et al.
Published: (2025)
Localizing Factual Inconsistencies in Attributable Text Generation
by: Cattan, Arie, et al.
Published: (2024)
by: Cattan, Arie, et al.
Published: (2024)
Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs
by: Ifergan, Maxim, et al.
Published: (2024)
by: Ifergan, Maxim, et al.
Published: (2024)
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
by: Calderon, Nitay, et al.
Published: (2024)
by: Calderon, Nitay, et al.
Published: (2024)
Hidden Failures in Robustness: Why Supervised Uncertainty Quantification Needs Better Evaluation
by: Stacey, Joe, et al.
Published: (2026)
by: Stacey, Joe, et al.
Published: (2026)
ContraSim -- Analyzing Neural Representations Based on Contrastive Learning
by: Rahamim, Adir, et al.
Published: (2023)
by: Rahamim, Adir, et al.
Published: (2023)
Latent Reasoning with Supervised Thinking States
by: Amos, Ido, et al.
Published: (2026)
by: Amos, Ido, et al.
Published: (2026)
Teaching Models to Improve on Tape
by: Bezalel, Liat, et al.
Published: (2024)
by: Bezalel, Liat, et al.
Published: (2024)
DoubleDipper: Improving Long-Context LLMs via Context Recycling
by: Cattan, Arie, et al.
Published: (2024)
by: Cattan, Arie, et al.
Published: (2024)
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs
by: Itzhak, Itay, et al.
Published: (2025)
by: Itzhak, Itay, et al.
Published: (2025)
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
by: Lissak, Shir, et al.
Published: (2024)
by: Lissak, Shir, et al.
Published: (2024)
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment
by: Gordon, Brian, et al.
Published: (2023)
by: Gordon, Brian, et al.
Published: (2023)
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
by: Zhang, Yue, et al.
Published: (2026)
by: Zhang, Yue, et al.
Published: (2026)
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
by: Calderon, Nitay, et al.
Published: (2025)
by: Calderon, Nitay, et al.
Published: (2025)
Similar Items
-
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024) -
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2026) -
HACK: Hallucinations Along Certainty and Knowledge Axes
by: Simhi, Adi, et al.
Published: (2025) -
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
by: Calderon, Nitay, et al.
Published: (2026) -
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
by: Gekhman, Zorik, et al.
Published: (2024)