Co-occurring keywords · papers mentioning both
Papers
Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
WACV 2026
When Do Language Models Endorse Limitations on Human Rights Principles?
EACL 2026
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset
ACL 2025
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive
ACL 2025
Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency
EMNLP 2025
Interpreting CLIP with Hierarchical Sparse Autoencoders
ICML 2025
Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models
ACL 2025
What the #?*!: Disentangling Hate Across Target Identities
NAACL 2025
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
EMNLP 2024
AgentReview: Exploring Peer Review Dynamics with LLM Agents
EMNLP 2024
An Empirical Analysis on Large Language Models in Debate Evaluation
ACL 2024
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective
ACL 2024
Cautionary Tales on Synthetic Controls in Survival Analyses
CLeaR 2024
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
NeurIPS 2024
Human Feedback is not Gold Standard
ICLR 2024
”So, are you a different person today?” Analyzing Bias in Questions during Parole Hearings
EMNLP 2024
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems
Interspeech 2024
Analyzing Bias in Large Language Model Solutions for Assisted Writing Feedback Tools: Lessons from the Feedback Prize Competition Series
ACL 2023
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
CVPR 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
EMNLP 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
EMNLP 2023
Intersectional Stereotypes in Large Language Models: Dataset and Analysis
EMNLP 2023
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
ICML 2023
Super-SCOTUS: A multi-sourced dataset for the Supreme Court of the US
EMNLP 2023
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance
EMNLP 2023