Do Biased Models Have Biased Thoughts?
Fuente:
arXiv
Saved in:
| Main Authors: | Rajwal, Swati, Garg, Shivank, Abdel-Salam, Reem, Zayed, Abdelrahman |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncovering Biases with Reflective Large Language Models
by: Chang, Edward Y.
Published: (2024)
by: Chang, Edward Y.
Published: (2024)
Benchmarking Cognitive Biases in Large Language Models as Evaluators
by: Koo, Ryan, et al.
Published: (2023)
by: Koo, Ryan, et al.
Published: (2023)
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
by: Saha, Soumadeep, et al.
Published: (2025)
by: Saha, Soumadeep, et al.
Published: (2025)
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought
by: Tan, Xiaoyu, et al.
Published: (2024)
by: Tan, Xiaoyu, et al.
Published: (2024)
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)
by: Peters, Sydney, et al.
Published: (2025)
Rejected Dialects: Biases Against African American Language in Reward Models
by: Mire, Joel, et al.
Published: (2025)
by: Mire, Joel, et al.
Published: (2025)
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)
by: Saji, Alan, et al.
Published: (2025)
Intertwined Biases Across Social Media Spheres: Unpacking Correlations in Media Bias Dimensions
by: Liu, Yifan, et al.
Published: (2024)
by: Liu, Yifan, et al.
Published: (2024)
Do Models Know Why They Changed Their Mind? Interpretability and Faithfulness of Chain-of-Thought Under Knowledge Conflict
by: Venkata, Pruthvinath Jeripity
Published: (2026)
by: Venkata, Pruthvinath Jeripity
Published: (2026)
A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
by: Balasubramanian, Sriram, et al.
Published: (2025)
by: Balasubramanian, Sriram, et al.
Published: (2025)
Large Language Models Can Better Understand Knowledge Graphs Than We Thought
by: Dai, Xinbang, et al.
Published: (2024)
by: Dai, Xinbang, et al.
Published: (2024)
Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models
by: Young, Richard J.
Published: (2026)
by: Young, Richard J.
Published: (2026)
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)
by: Oketunji, Abiodun Finbarrs
Published: (2023)
Large Language Models are Inconsistent and Biased Evaluators
by: Stureborg, Rickard, et al.
Published: (2024)
by: Stureborg, Rickard, et al.
Published: (2024)
Do Latent Tokens Think? A Causal and Adversarial Analysis of Chain-of-Continuous-Thought
by: Zhang, Yuyi, et al.
Published: (2025)
by: Zhang, Yuyi, et al.
Published: (2025)
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)
by: Blair-Stanek, Andrew, et al.
Published: (2023)
Low-Resource Court Judgment Summarization for Common Law Systems
by: Liu, Shuaiqi, et al.
Published: (2024)
by: Liu, Shuaiqi, et al.
Published: (2024)
Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning
by: Doghmash, Salam Thabet, et al.
Published: (2025)
by: Doghmash, Salam Thabet, et al.
Published: (2025)
Robustness of Large Language Models to Perturbations in Text
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models
by: Chang, Edward Y.
Published: (2024)
by: Chang, Edward Y.
Published: (2024)
The Dual-Route Model of Induction
by: Feucht, Sheridan, et al.
Published: (2025)
by: Feucht, Sheridan, et al.
Published: (2025)
Language Models are Crossword Solvers
by: Saha, Soumadeep, et al.
Published: (2024)
by: Saha, Soumadeep, et al.
Published: (2024)
Super Tiny Language Models
by: Hillier, Dylan, et al.
Published: (2024)
by: Hillier, Dylan, et al.
Published: (2024)
Adaptive Focus Memory for Language Models
by: Cruz, Christopher
Published: (2025)
by: Cruz, Christopher
Published: (2025)
Synergy: End-to-end Concept Model
by: Zheng, Keli, et al.
Published: (2025)
by: Zheng, Keli, et al.
Published: (2025)
Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
by: Iida, Kurando, et al.
Published: (2024)
by: Iida, Kurando, et al.
Published: (2024)
UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
by: Ovcharov, Volodymyr
Published: (2026)
by: Ovcharov, Volodymyr
Published: (2026)
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
by: Vrettos, Konstantinos, et al.
Published: (2025)
by: Vrettos, Konstantinos, et al.
Published: (2025)
Language Model Circuits Are Sparse in the Neuron Basis
by: Arora, Aryaman, et al.
Published: (2026)
by: Arora, Aryaman, et al.
Published: (2026)
Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)
by: Dalal, Dhairya, et al.
Published: (2024)
Exploring Graph Representations of Logical Forms for Language Modeling
by: Sullivan, Michael
Published: (2025)
by: Sullivan, Michael
Published: (2025)
A comprehensive taxonomy of hallucinations in Large Language Models
by: Cossio, Manuel
Published: (2025)
by: Cossio, Manuel
Published: (2025)
Future Language Modeling from Temporal Document History
by: Li, Changmao, et al.
Published: (2024)
by: Li, Changmao, et al.
Published: (2024)
Streamlining Redundant Layers to Compress Large Language Models
by: Chen, Xiaodong, et al.
Published: (2024)
by: Chen, Xiaodong, et al.
Published: (2024)
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
by: Gao, Yifei, et al.
Published: (2024)
by: Gao, Yifei, et al.
Published: (2024)
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
by: Hong, Colin, et al.
Published: (2025)
by: Hong, Colin, et al.
Published: (2025)
Artificial Phantasia: Emergent Mental Imagery in Large Language Models
by: McCarty, Morgan, et al.
Published: (2025)
by: McCarty, Morgan, et al.
Published: (2025)
Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models
by: Hawkins, John
Published: (2025)
by: Hawkins, John
Published: (2025)
Prompt-Time Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)
by: Çöplü, Tolga, et al.
Published: (2024)
Similar Items
-
Uncovering Biases with Reflective Large Language Models
by: Chang, Edward Y.
Published: (2024) -
Benchmarking Cognitive Biases in Large Language Models as Evaluators
by: Koo, Ryan, et al.
Published: (2023) -
KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?
by: Saha, Soumadeep, et al.
Published: (2025) -
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought
by: Tan, Xiaoyu, et al.
Published: (2024) -
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)