Should We Attend More or Less? Modulating Attention for Fairness
Fuente:
arXiv
Saved in:
| Main Authors: | Zayed, Abdelrahman, Mordido, Goncalo, Shabanian, Samira, Chandar, Sarath |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Why Don't Prompt-Based Fairness Metrics Correlate?
by: Zayed, Abdelrahman, et al.
Published: (2024)
by: Zayed, Abdelrahman, et al.
Published: (2024)
Lookbehind-SAM: k steps back, 1 step forward
by: Mordido, Gonçalo, et al.
Published: (2023)
by: Mordido, Gonçalo, et al.
Published: (2023)
Are self-explanations from Large Language Models faithful?
by: Madsen, Andreas, et al.
Published: (2024)
by: Madsen, Andreas, et al.
Published: (2024)
Large Language Models Assume People are More Rational than We Really are
by: Liu, Ryan, et al.
Published: (2024)
by: Liu, Ryan, et al.
Published: (2024)
We Should Separate Memorization from Copyright
by: Haviv, Adi, et al.
Published: (2026)
by: Haviv, Adi, et al.
Published: (2026)
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)
Towards Practical Tool Usage for Continually Learning LLMs
by: Huang, Jerry, et al.
Published: (2024)
by: Huang, Jerry, et al.
Published: (2024)
How Far Are We From AGI: Are LLMs All We Need?
by: Feng, Tao, et al.
Published: (2024)
by: Feng, Tao, et al.
Published: (2024)
We're Different, We're the Same: Creative Homogeneity Across LLMs
by: Wenger, Emily, et al.
Published: (2025)
by: Wenger, Emily, et al.
Published: (2025)
Less is More: Unseen Domain Fake News Detection via Causal Propagation Substructures
by: Gong, Shuzhi, et al.
Published: (2024)
by: Gong, Shuzhi, et al.
Published: (2024)
Do Large Language Models Know How Much They Know?
by: Prato, Gabriele, et al.
Published: (2025)
by: Prato, Gabriele, et al.
Published: (2025)
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
by: Huang, Jerry, et al.
Published: (2024)
by: Huang, Jerry, et al.
Published: (2024)
Fairness of ChatGPT
by: Li, Yunqi, et al.
Published: (2023)
by: Li, Yunqi, et al.
Published: (2023)
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
by: Schaeffer, Rylan, et al.
Published: (2025)
by: Schaeffer, Rylan, et al.
Published: (2025)
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)
by: Lerner, Emilia Agis, et al.
Published: (2024)
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
by: Bouchard, Dylan, et al.
Published: (2025)
by: Bouchard, Dylan, et al.
Published: (2025)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
by: Shieh, Evan, et al.
Published: (2024)
by: Shieh, Evan, et al.
Published: (2024)
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)
by: Deng, Wenlong, et al.
Published: (2024)
Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)
by: Zhang, Qingquan, et al.
Published: (2024)
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)
by: Ebrahimi, Sana, et al.
Published: (2024)
LIMR: Less is More for RL Scaling
by: Li, Xuefeng, et al.
Published: (2025)
by: Li, Xuefeng, et al.
Published: (2025)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
Supernova: Achieving More with Less in Transformer Architectures
by: Tanase, Andrei-Valentin, et al.
Published: (2025)
by: Tanase, Andrei-Valentin, et al.
Published: (2025)
The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning
by: Aghajohari, Milad, et al.
Published: (2025)
by: Aghajohari, Milad, et al.
Published: (2025)
Too Big to Fool: Resisting Deception in Language Models
by: Samsami, Mohammad Reza, et al.
Published: (2024)
by: Samsami, Mohammad Reza, et al.
Published: (2024)
Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning
by: Zhong, Xiuqin, et al.
Published: (2024)
by: Zhong, Xiuqin, et al.
Published: (2024)
Less is More for Improving Automatic Evaluation of Factual Consistency
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
by: Hou, Ruikun, et al.
Published: (2025)
by: Hou, Ruikun, et al.
Published: (2025)
When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)
by: Wu, Yuyang, et al.
Published: (2025)
Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)
by: Zheng, Yilun, et al.
Published: (2025)
Less is More: Local Intrinsic Dimensions of Contextual Language Models
by: Ruppik, Benjamin Matthias, et al.
Published: (2025)
by: Ruppik, Benjamin Matthias, et al.
Published: (2025)
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
by: Tang, Zeyu, et al.
Published: (2025)
by: Tang, Zeyu, et al.
Published: (2025)
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
by: Goren, Shani, et al.
Published: (2026)
by: Goren, Shani, et al.
Published: (2026)
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
by: Riaz, Haris, et al.
Published: (2025)
by: Riaz, Haris, et al.
Published: (2025)
Less is More: Improving LLM Alignment via Preference Data Selection
by: Deng, Xun, et al.
Published: (2025)
by: Deng, Xun, et al.
Published: (2025)
Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage
by: Hu, Junhao, et al.
Published: (2026)
by: Hu, Junhao, et al.
Published: (2026)
Torque-Aware Momentum
by: Malviya, Pranshu, et al.
Published: (2024)
by: Malviya, Pranshu, et al.
Published: (2024)
Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models
by: Abbes, Istabrak, et al.
Published: (2025)
by: Abbes, Istabrak, et al.
Published: (2025)
Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification
by: Guo, Yiju, et al.
Published: (2026)
by: Guo, Yiju, et al.
Published: (2026)
Similar Items
-
Why Don't Prompt-Based Fairness Metrics Correlate?
by: Zayed, Abdelrahman, et al.
Published: (2024) -
Lookbehind-SAM: k steps back, 1 step forward
by: Mordido, Gonçalo, et al.
Published: (2023) -
Are self-explanations from Large Language Models faithful?
by: Madsen, Andreas, et al.
Published: (2024) -
Large Language Models Assume People are More Rational than We Really are
by: Liu, Ryan, et al.
Published: (2024) -
We Should Separate Memorization from Copyright
by: Haviv, Adi, et al.
Published: (2026)