conftrace_

bias reduction

48 papers

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Co-occurring keywords

large language model (13587) language model (4599) bias mitigation (500) multimodal learning (4645) natural language inference (1287) transfer learning (5449) social bia (210) language bia (31) gender bia (435) toxicity reduction (27)

Papers

Co-Eval: Augmenting LLM-based Evaluation with Machine Metrics EMNLP 2025
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion CVPR 2025
Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification ACL 2025
Neutralizing Bias in LLM Reasoning using Entailment Graphs ACL 2025
FALCON: Fair Face Recognition via Local Optimal Feature Normalization WACV 2025
GenWriter: Reducing Gender Cues in Biographies through Text Rewriting ACL 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models EMNLP 2025
Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation NIPS 2024
Can Machine Unlearning Reduce Social Bias in Language Models? EMNLP 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024
Distributed Least Squares in Small Space via Sketching and Bias Reduction NIPS 2024
Debiasing Large Language Models with Structured Knowledge ACL 2024
CE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation COLING 2024
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024
LEACE: Perfect linear concept erasure in closed form NIPS 2023
Distributed Statistical Inference under Heterogeneity JMLR 2023
Using In-Context Learning to Improve Dialogue Safety EMNLP 2023
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies ICML 2023
Variational Weighting for Kernel Density Ratios NIPS 2023
Debiasing Conditional Stochastic Optimization NIPS 2023
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling AAAI 2022