Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yuksekgonul, Mert, Chandrasekaran, Varun, Jones, Erik, Gunasekar, Suriya, Naik, Ranjita, Palangi, Hamid, Kamar, Ece, Nushi, Besmira |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023)
by: Naik, Ranjita, et al.
Published: (2023)
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024)
by: Adiga, Rishabh, et al.
Published: (2024)
BenchAgents: Multi-Agent Systems for Structured Benchmark Creation
by: Butt, Natasha, et al.
Published: (2024)
by: Butt, Natasha, et al.
Published: (2024)
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
by: Joshi, Siddharth, et al.
Published: (2025)
by: Joshi, Siddharth, et al.
Published: (2025)
Language Models' Factuality Depends on the Language of Inquiry
by: Aggarwal, Tushar, et al.
Published: (2025)
by: Aggarwal, Tushar, et al.
Published: (2025)
Sparse Reward Subsystem in Large Language Models
by: Xu, Guowei, et al.
Published: (2026)
by: Xu, Guowei, et al.
Published: (2026)
Exploring Group and Symmetry Principles in Large Language Models
by: Imani, Shima, et al.
Published: (2024)
by: Imani, Shima, et al.
Published: (2024)
Improving Instruction-Following in Language Models through Activation Steering
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)
by: Bordt, Sebastian, et al.
Published: (2024)
Eureka: Evaluating and Understanding Large Foundation Models
by: Balachandran, Vidhisha, et al.
Published: (2024)
by: Balachandran, Vidhisha, et al.
Published: (2024)
Detecting Data Contamination in LLMs via In-Context Learning
by: Zawalski, Michał, et al.
Published: (2025)
by: Zawalski, Michał, et al.
Published: (2025)
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages
by: Rarrick, Spencer, et al.
Published: (2024)
by: Rarrick, Spencer, et al.
Published: (2024)
metaTextGrad: Automatically optimizing language model optimizers
by: Xu, Guowei, et al.
Published: (2025)
by: Xu, Guowei, et al.
Published: (2025)
Cost-of-Pass: An Economic Framework for Evaluating Language Models
by: Erol, Mehmet Hamza, et al.
Published: (2025)
by: Erol, Mehmet Hamza, et al.
Published: (2025)
Generative Monoculture in Large Language Models
by: Wu, Fan, et al.
Published: (2024)
by: Wu, Fan, et al.
Published: (2024)
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
by: Suzgun, Mirac, et al.
Published: (2025)
by: Suzgun, Mirac, et al.
Published: (2025)
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
by: Moayeri, Mazda, et al.
Published: (2024)
by: Moayeri, Mazda, et al.
Published: (2024)
Designing Informative Metrics for Few-Shot Example Selection
by: Adiga, Rishabh, et al.
Published: (2024)
by: Adiga, Rishabh, et al.
Published: (2024)
Phi-4-reasoning Technical Report
by: Abdin, Marah, et al.
Published: (2025)
by: Abdin, Marah, et al.
Published: (2025)
LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs
by: Cai, Yanan, et al.
Published: (2025)
by: Cai, Yanan, et al.
Published: (2025)
Grammatical vs Spelling Error Correction: An Investigation into the Responsiveness of Transformer-based Language Models using BART and MarianMT
by: Raju, Rohit, et al.
Published: (2024)
by: Raju, Rohit, et al.
Published: (2024)
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
by: Krishna, Kundan, et al.
Published: (2024)
by: Krishna, Kundan, et al.
Published: (2024)
The Collaboration Gap
by: Davidson, Tim R., et al.
Published: (2025)
by: Davidson, Tim R., et al.
Published: (2025)
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
by: Bianchi, Federico, et al.
Published: (2024)
by: Bianchi, Federico, et al.
Published: (2024)
TextGrad: Automatic "Differentiation" via Text
by: Yuksekgonul, Mert, et al.
Published: (2024)
by: Yuksekgonul, Mert, et al.
Published: (2024)
A Reality Check of Language Models as Formalizers on Constraint Satisfaction Problems
by: Amonkar, Rikhil, et al.
Published: (2025)
by: Amonkar, Rikhil, et al.
Published: (2025)
Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models
by: Tuck, Bryan E., et al.
Published: (2025)
by: Tuck, Bryan E., et al.
Published: (2025)
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models
by: Wang, Yanling, et al.
Published: (2024)
by: Wang, Yanling, et al.
Published: (2024)
ART: Attention Replacement Technique to Improve Factuality in LLMs
by: Luo, Ziqin, et al.
Published: (2026)
by: Luo, Ziqin, et al.
Published: (2026)
Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall
by: Wang, Qianli, et al.
Published: (2025)
by: Wang, Qianli, et al.
Published: (2025)
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
by: Shayegani, Erfan, et al.
Published: (2025)
by: Shayegani, Erfan, et al.
Published: (2025)
Adaptive Large Language Models By Layerwise Attention Shortcuts
by: Verma, Prateek, et al.
Published: (2024)
by: Verma, Prateek, et al.
Published: (2024)
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
by: Wu, Yang, et al.
Published: (2024)
by: Wu, Yang, et al.
Published: (2024)
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
by: Parmar, Mihir, et al.
Published: (2025)
by: Parmar, Mihir, et al.
Published: (2025)
Understanding Information Storage and Transfer in Multi-modal Large Language Models
by: Basu, Samyadeep, et al.
Published: (2024)
by: Basu, Samyadeep, et al.
Published: (2024)
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
by: Huang, Kung-Hsiang, et al.
Published: (2023)
by: Huang, Kung-Hsiang, et al.
Published: (2023)
Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
by: Chen, Dingwei, et al.
Published: (2025)
by: Chen, Dingwei, et al.
Published: (2025)
Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models
by: Wang, Wenxuan, et al.
Published: (2024)
by: Wang, Wenxuan, et al.
Published: (2024)
Unmasking Hallucinations: A Causal Graph-Attention Perspective on Factual Reliability in Large Language Models
by: kurra, Sailesh kiran, et al.
Published: (2026)
by: kurra, Sailesh kiran, et al.
Published: (2026)
HEART: Emotionally-Driven Test-Time Scaling of Language Models
by: Pinto, Gabriela, et al.
Published: (2025)
by: Pinto, Gabriela, et al.
Published: (2025)
Similar Items
-
Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023) -
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024) -
BenchAgents: Multi-Agent Systems for Structured Benchmark Creation
by: Butt, Natasha, et al.
Published: (2024) -
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation
by: Joshi, Siddharth, et al.
Published: (2025) -
Language Models' Factuality Depends on the Language of Inquiry
by: Aggarwal, Tushar, et al.
Published: (2025)