The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ahrabian, Kian, Sourati, Zhivar, Sun, Kexuan, Zhang, Jiarui, Jiang, Yifan, Morstatter, Fred, Pujara, Jay |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
by: Jiang, Yifan, et al.
Published: (2024)
by: Jiang, Yifan, et al.
Published: (2024)
Contextualizing Argument Quality Assessment with Relevant Knowledge
by: Deshpande, Darshan, et al.
Published: (2023)
by: Deshpande, Darshan, et al.
Published: (2023)
Toward Better Temporal Structures for Geopolitical Events Forecasting
by: Ahrabian, Kian, et al.
Published: (2026)
by: Ahrabian, Kian, et al.
Published: (2026)
ARN: Analogical Reasoning on Narratives
by: Sourati, Zhivar, et al.
Published: (2023)
by: Sourati, Zhivar, et al.
Published: (2023)
The Homogenizing Effect of Large Language Models on Human Expression and Thought
by: Sourati, Zhivar, et al.
Published: (2025)
by: Sourati, Zhivar, et al.
Published: (2025)
A Systematic Analysis of Base Model Choice for Reward Modeling
by: Ahrabian, Kian, et al.
Published: (2025)
by: Ahrabian, Kian, et al.
Published: (2025)
The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models
by: Sourati, Zhivar, et al.
Published: (2025)
by: Sourati, Zhivar, et al.
Published: (2025)
On The Adaptation of Unlimiformer for Decoder-Only Transformers
by: Ahrabian, Kian, et al.
Published: (2024)
by: Ahrabian, Kian, et al.
Published: (2024)
Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits
by: Sourati, Zhivar, et al.
Published: (2024)
by: Sourati, Zhivar, et al.
Published: (2024)
A Practical Analysis of Human Alignment with *PO
by: Ahrabian, Kian, et al.
Published: (2024)
by: Ahrabian, Kian, et al.
Published: (2024)
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
by: Salinas, Abel, et al.
Published: (2024)
by: Salinas, Abel, et al.
Published: (2024)
Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
by: Amin, Hasan, et al.
Published: (2026)
by: Amin, Hasan, et al.
Published: (2026)
Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training
by: Rahmati, Elnaz, et al.
Published: (2026)
by: Rahmati, Elnaz, et al.
Published: (2026)
Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis
by: Ahrabian, Kian, et al.
Published: (2024)
by: Ahrabian, Kian, et al.
Published: (2024)
Surprising Resilience of Scientific Publication during a Global Pandemic: A Large‐Scale Bibliometric Analysis
by: Casandra Rusti, et al.
Published: (2025)
by: Casandra Rusti, et al.
Published: (2025)
Risk and Response in Large Language Models: Evaluating Key Threat Categories
by: Harandizadeh, Bahareh, et al.
Published: (2024)
by: Harandizadeh, Bahareh, et al.
Published: (2024)
RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking
by: Jiang, Yifan, et al.
Published: (2024)
by: Jiang, Yifan, et al.
Published: (2024)
The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models
by: Lee, Taewhoo, et al.
Published: (2025)
by: Lee, Taewhoo, et al.
Published: (2025)
Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking
by: Ziabari, Alireza S., et al.
Published: (2025)
by: Ziabari, Alireza S., et al.
Published: (2025)
Robust Text Classification: Analyzing Prototype-Based Networks
by: Sourati, Zhivar, et al.
Published: (2023)
by: Sourati, Zhivar, et al.
Published: (2023)
A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination
by: ShabaniMirzaei, Taha, et al.
Published: (2023)
by: ShabaniMirzaei, Taha, et al.
Published: (2023)
Do Methods to Jailbreak and Defend LLMs Generalize Across Languages?
by: Atil, Berk, et al.
Published: (2025)
by: Atil, Berk, et al.
Published: (2025)
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
by: Dorn, Rebecca, et al.
Published: (2024)
by: Dorn, Rebecca, et al.
Published: (2024)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Knowledge Graph Analysis of Legal Understanding and Violations in LLMs
by: Jha, Abha, et al.
Published: (2025)
by: Jha, Abha, et al.
Published: (2025)
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition
by: Nghiem, Huy, et al.
Published: (2024)
by: Nghiem, Huy, et al.
Published: (2024)
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
by: Salinas, Abel, et al.
Published: (2023)
by: Salinas, Abel, et al.
Published: (2023)
Self-Discover: Large Language Models Self-Compose Reasoning Structures
by: Zhou, Pei, et al.
Published: (2024)
by: Zhou, Pei, et al.
Published: (2024)
What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
by: Yun, Tian, et al.
Published: (2025)
by: Yun, Tian, et al.
Published: (2025)
Integrating Pre-Trained Language Model with Physical Layer Communications
by: Lee, Ju-Hyung, et al.
Published: (2024)
by: Lee, Ju-Hyung, et al.
Published: (2024)
GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models
by: Feng, Jiarui, et al.
Published: (2025)
by: Feng, Jiarui, et al.
Published: (2025)
Estimating Causal Effects of Text Interventions Leveraging LLMs
by: Guo, Siyi, et al.
Published: (2024)
by: Guo, Siyi, et al.
Published: (2024)
Measuring and Analyzing Subjective Uncertainty in Scientific Communications
by: Sourati, Jamshid, et al.
Published: (2025)
by: Sourati, Jamshid, et al.
Published: (2025)
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models
by: Qian, Cheng, et al.
Published: (2023)
by: Qian, Cheng, et al.
Published: (2023)
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
by: Yang, Yukang, et al.
Published: (2025)
by: Yang, Yukang, et al.
Published: (2025)
Abstract Activation Spaces for Content-Invariant Reasoning in Large Language Models
by: Maraia, Gabriele, et al.
Published: (2026)
by: Maraia, Gabriele, et al.
Published: (2026)
Retargeting an Abstract Interpreter for a New Language by Partial Evaluation
by: Lee, Jay
Published: (2025)
by: Lee, Jay
Published: (2025)
The Curious Case of Curiosity across Human Cultures and LLMs
by: Borah, Angana, et al.
Published: (2025)
by: Borah, Angana, et al.
Published: (2025)
Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations
by: Lee, Dong-Ho, et al.
Published: (2025)
by: Lee, Dong-Ho, et al.
Published: (2025)
The Curious Case of Factuality Finetuning: Models' Internal Beliefs Can Improve Factuality
by: Newman, Benjamin, et al.
Published: (2025)
by: Newman, Benjamin, et al.
Published: (2025)
Similar Items
-
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
by: Jiang, Yifan, et al.
Published: (2024) -
Contextualizing Argument Quality Assessment with Relevant Knowledge
by: Deshpande, Darshan, et al.
Published: (2023) -
Toward Better Temporal Structures for Geopolitical Events Forecasting
by: Ahrabian, Kian, et al.
Published: (2026) -
ARN: Analogical Reasoning on Narratives
by: Sourati, Zhivar, et al.
Published: (2023) -
The Homogenizing Effect of Large Language Models on Human Expression and Thought
by: Sourati, Zhivar, et al.
Published: (2025)