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Machine Learning
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Fairness
3337 directly classified papers
Papers per year
2011: 1
2013: 3
2014: 2
2016: 6
2017: 30
2018: 65
2019: 182
2020: 239
2021: 373
2022: 456
2023: 533
2024: 648
2025: 644
2026: 155
Papers
Classist Tools: Social Class Correlates with Performance in NLP
ACL 2024
Large Language Models are not Fair Evaluators
ACL 2024
Why Don’t Prompt-Based Fairness Metrics Correlate?
ACL 2024
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
ACL 2024
Fairness-Aware Estimation of Graphical Models
NIPS 2024
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution
ACL 2024
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
CVPR 2024
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters
ACL 2024
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
ACL 2024
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
NAACL 2024
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models
ACL 2024
Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4
NAACL 2024
Sociocultural Considerations in Monitoring Anti-LGBTQ+ Content on Social Media
ACL 2024
The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries
NAACL 2024
What Sketch Explainability Really Means for Downstream Tasks?
CVPR 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
NIPS 2024
DAIC-WOZ: On the Validity of Using the Therapist’s prompts in Automatic Depression Detection from Clinical Interviews
NAACL 2024
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models
NAACL 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
NAACL 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
EMNLP 2024
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models
NAACL 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models
NAACL 2024
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers
EMNLP 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
EMNLP 2024
Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences
NAACL 2024
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