Chimera: Diagnosing Shortcut Learning in Visual-Language Understanding
Fuente:
arXiv
Saved in:
| Main Authors: | Chi, Ziheng, Hou, Yifan, Pang, Chenxi, Cui, Shaobo, Akhtar, Mubashara, Sachan, Mrinmaya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning
by: Wang, Yucheng, et al.
Published: (2025)
by: Wang, Yucheng, et al.
Published: (2025)
Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education
by: Wang, Junling, et al.
Published: (2026)
by: Wang, Junling, et al.
Published: (2026)
Can Vision-Language Models Solve Visual Math Equations?
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
Probing for Arithmetic Errors in Language Models
by: Sun, Yucheng, et al.
Published: (2025)
by: Sun, Yucheng, et al.
Published: (2025)
ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
by: Ni, Jingwei, et al.
Published: (2025)
by: Ni, Jingwei, et al.
Published: (2025)
Do Vision-Language Models Really Understand Visual Language?
by: Hou, Yifan, et al.
Published: (2024)
by: Hou, Yifan, et al.
Published: (2024)
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading
by: Cui, Peng, et al.
Published: (2024)
by: Cui, Peng, et al.
Published: (2024)
Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)
by: Simko, Samuel, et al.
Published: (2025)
Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
by: Wang, Junling, et al.
Published: (2025)
by: Wang, Junling, et al.
Published: (2025)
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
by: Cui, Peng, et al.
Published: (2025)
by: Cui, Peng, et al.
Published: (2025)
Multilingual Performance Biases of Large Language Models in Education
by: Gupta, Vansh, et al.
Published: (2025)
by: Gupta, Vansh, et al.
Published: (2025)
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
by: Do, Heejin, et al.
Published: (2026)
by: Do, Heejin, et al.
Published: (2026)
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)
by: Lloret, Saüc Abadal, et al.
Published: (2024)
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
by: Akhtar, Mubashara, et al.
Published: (2024)
by: Akhtar, Mubashara, et al.
Published: (2024)
Post-Training Language Models for Crosslingual Consistency
by: Liu, Tianyu, et al.
Published: (2026)
by: Liu, Tianyu, et al.
Published: (2026)
On the Emergence of Induction Heads for In-Context Learning
by: Musat, Tiberiu, et al.
Published: (2025)
by: Musat, Tiberiu, et al.
Published: (2025)
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)
by: Daheim, Nico, et al.
Published: (2024)
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
by: Piedrahita, David Guzman, et al.
Published: (2025)
by: Piedrahita, David Guzman, et al.
Published: (2025)
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
by: Dinucu-Jianu, David, et al.
Published: (2025)
by: Dinucu-Jianu, David, et al.
Published: (2025)
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
by: Rooein, Donya, et al.
Published: (2026)
by: Rooein, Donya, et al.
Published: (2026)
What Do Language Models Learn in Context? The Structured Task Hypothesis
by: Li, Jiaoda, et al.
Published: (2024)
by: Li, Jiaoda, et al.
Published: (2024)
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models
by: Sakib, Fardin Ahsan, et al.
Published: (2025)
by: Sakib, Fardin Ahsan, et al.
Published: (2025)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)
by: Jenny, David F., et al.
Published: (2023)
Confidence Regulation Neurons in Language Models
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
by: Rashiti, Gentiana, et al.
Published: (2024)
by: Rashiti, Gentiana, et al.
Published: (2024)
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens
by: Zeng, Ziqian, et al.
Published: (2024)
by: Zeng, Ziqian, et al.
Published: (2024)
Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models
by: Tartaglini, Alexa R., et al.
Published: (2025)
by: Tartaglini, Alexa R., et al.
Published: (2025)
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
by: Ni, Jingwei, et al.
Published: (2025)
by: Ni, Jingwei, et al.
Published: (2025)
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
by: Lalwani, Abhinav, et al.
Published: (2024)
by: Lalwani, Abhinav, et al.
Published: (2024)
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
by: Lehmann, Hans Hergen, et al.
Published: (2025)
by: Lehmann, Hans Hergen, et al.
Published: (2025)
Can Large Language Models Infer Causation from Correlation?
by: Jin, Zhijing, et al.
Published: (2023)
by: Jin, Zhijing, et al.
Published: (2023)
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
by: Macina, Jakub, et al.
Published: (2025)
by: Macina, Jakub, et al.
Published: (2025)
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation
by: Zengaffinen, Yanick, et al.
Published: (2026)
by: Zengaffinen, Yanick, et al.
Published: (2026)
Shortcut Learning in In-Context Learning: A Survey
by: Song, Rui, et al.
Published: (2024)
by: Song, Rui, et al.
Published: (2024)
Similar Items
-
Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning
by: Wang, Yucheng, et al.
Published: (2025) -
Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education
by: Wang, Junling, et al.
Published: (2026) -
Can Vision-Language Models Solve Visual Math Equations?
by: Choudhury, Monjoy Narayan, et al.
Published: (2025) -
Probing for Arithmetic Errors in Language Models
by: Sun, Yucheng, et al.
Published: (2025) -
ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
by: Ni, Jingwei, et al.
Published: (2025)