Saved in:
| Main Authors: | Yang, Sohee, Kassner, Nora, Gribovskaya, Elena, Riedel, Sebastian, Geva, Mor |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.16679 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do Large Language Models Latently Perform Multi-Hop Reasoning?
by: Yang, Sohee, et al.
Published: (2024)
by: Yang, Sohee, et al.
Published: (2024)
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
by: Yang, Sohee, et al.
Published: (2025)
by: Yang, Sohee, et al.
Published: (2025)
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
by: Biran, Eden, et al.
Published: (2024)
by: Biran, Eden, et al.
Published: (2024)
Estimating Knowledge in Large Language Models Without Generating a Single Token
by: Gottesman, Daniela, et al.
Published: (2024)
by: Gottesman, Daniela, et al.
Published: (2024)
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
by: Yona, Gal, et al.
Published: (2024)
by: Yona, Gal, et al.
Published: (2024)
Detecting (Un)answerability in Large Language Models with Linear Directions
by: Lavi, Maor Juliet, et al.
Published: (2025)
by: Lavi, Maor Juliet, et al.
Published: (2025)
Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models
by: Cohen, Ido, et al.
Published: (2024)
by: Cohen, Ido, et al.
Published: (2024)
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
by: Ju, Tianjie, et al.
Published: (2024)
by: Ju, Tianjie, et al.
Published: (2024)
Indications of Belief-Guided Agency and Meta-Cognitive Monitoring in Large Language Models
by: Yalon, Noam Steinmetz, et al.
Published: (2026)
by: Yalon, Noam Steinmetz, et al.
Published: (2026)
Latent Reasoning with Supervised Thinking States
by: Amos, Ido, et al.
Published: (2026)
by: Amos, Ido, et al.
Published: (2026)
Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
by: Gur-Arieh, Yoav, et al.
Published: (2025)
by: Gur-Arieh, Yoav, et al.
Published: (2025)
Inferring Functionality of Attention Heads from their Parameters
by: Elhelo, Amit, et al.
Published: (2024)
by: Elhelo, Amit, et al.
Published: (2024)
Precise In-Parameter Concept Erasure in Large Language Models
by: Gur-Arieh, Yoav, et al.
Published: (2025)
by: Gur-Arieh, Yoav, et al.
Published: (2025)
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
by: Yona, Gal, et al.
Published: (2024)
by: Yona, Gal, et al.
Published: (2024)
Preventing Rogue Agents Improves Multi-Agent Collaboration
by: Barbi, Ohav, et al.
Published: (2025)
by: Barbi, Ohav, et al.
Published: (2025)
Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
by: Liu, Xukai, et al.
Published: (2026)
by: Liu, Xukai, et al.
Published: (2026)
Friends and Grandmothers in Silico: Localizing Entity Cells in Language Models
by: Yona, Itay, et al.
Published: (2026)
by: Yona, Itay, et al.
Published: (2026)
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
by: Ivgi, Maor, et al.
Published: (2024)
by: Ivgi, Maor, et al.
Published: (2024)
Effect of Document Packing on the Latent Multi-Hop Reasoning Capabilities of Large Language Models
by: Prato, Gabriele, et al.
Published: (2025)
by: Prato, Gabriele, et al.
Published: (2025)
Constructing Interpretable Features from Compositional Neuron Groups
by: Shafran, Or, et al.
Published: (2025)
by: Shafran, Or, et al.
Published: (2025)
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
by: Katz, Shahar, et al.
Published: (2024)
by: Katz, Shahar, et al.
Published: (2024)
Eliciting Textual Descriptions from Representations of Continuous Prompts
by: Ramati, Dana, et al.
Published: (2024)
by: Ramati, Dana, et al.
Published: (2024)
Hallucinations Undermine Trust; Metacognition is a Way Forward
by: Yona, Gal, et al.
Published: (2026)
by: Yona, Gal, et al.
Published: (2026)
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
by: Yuan, Yu, et al.
Published: (2024)
by: Yuan, Yu, et al.
Published: (2024)
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
by: Huang, Jing, et al.
Published: (2024)
by: Huang, Jing, et al.
Published: (2024)
Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts
by: Ahrac, Sagi, et al.
Published: (2026)
by: Ahrac, Sagi, et al.
Published: (2026)
From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
by: Shafran, Or, et al.
Published: (2026)
by: Shafran, Or, et al.
Published: (2026)
Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
by: Gur-Arieh, Yoav, et al.
Published: (2026)
by: Gur-Arieh, Yoav, et al.
Published: (2026)
Disentangling MLP Neuron Weights in Vocabulary Space
by: Avrahamy, Asaf, et al.
Published: (2026)
by: Avrahamy, Asaf, et al.
Published: (2026)
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2026)
by: Gekhman, Zorik, et al.
Published: (2026)
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
by: Ghandeharioun, Asma, et al.
Published: (2024)
by: Ghandeharioun, Asma, et al.
Published: (2024)
Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
by: Yu, Zeping, et al.
Published: (2025)
by: Yu, Zeping, et al.
Published: (2025)
The Hidden Space of Transformer Language Adapters
by: Alabi, Jesujoba O., et al.
Published: (2024)
by: Alabi, Jesujoba O., et al.
Published: (2024)
System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts
by: Wang, Xiaoqiang, et al.
Published: (2025)
by: Wang, Xiaoqiang, et al.
Published: (2025)
Break the Chain: Large Language Models Can be Shortcut Reasoners
by: Ding, Mengru, et al.
Published: (2024)
by: Ding, Mengru, et al.
Published: (2024)
Rethinking Selective Knowledge Distillation
by: Tavor, Almog, et al.
Published: (2026)
by: Tavor, Almog, et al.
Published: (2026)
How Do LLMs Perform Two-Hop Reasoning in Context?
by: Guo, Tianyu, et al.
Published: (2025)
by: Guo, Tianyu, et al.
Published: (2025)
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
by: Ma, Huipeng, et al.
Published: (2026)
by: Ma, Huipeng, et al.
Published: (2026)
Large Language Models Still Face Challenges in Multi-Hop Reasoning with External Knowledge
by: Zhang, Haotong
Published: (2024)
by: Zhang, Haotong
Published: (2024)
Jump to Conclusions: Short-Cutting Transformers With Linear Transformations
by: Din, Alexander Yom, et al.
Published: (2023)
by: Din, Alexander Yom, et al.
Published: (2023)
Similar Items
-
Do Large Language Models Latently Perform Multi-Hop Reasoning?
by: Yang, Sohee, et al.
Published: (2024) -
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts?
by: Yang, Sohee, et al.
Published: (2025) -
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
by: Biran, Eden, et al.
Published: (2024) -
Estimating Knowledge in Large Language Models Without Generating a Single Token
by: Gottesman, Daniela, et al.
Published: (2024) -
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
by: Yona, Gal, et al.
Published: (2024)