value alignment

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning ACL 2024 The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models EMNLP 2024 The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas EMNLP 2024 The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models EMNLP 2024 Training Socially Aligned Language Models on Simulated Social Interactions ICLR 2024 Value Alignment from Unstructured Text EMNLP 2024 ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models ACL 2024 Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value NAACL 2024 Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets NeurIPS 2024 Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024 Do Differences in Values Influence Disagreements in Online Discussions? EMNLP 2023 Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values ACL 2023 Learning Preference Model for LLMs via Automatic Preference Data Generation EMNLP 2023 On the Sensitivity of Reward Inference to Misspecified Human Models ICLR 2023 Probing Pre-Trained Language Models for Cross-Cultural Differences in Values EACL 2023 Stay Moral and Explore: Learn to Behave Morally in Text-based Games ICLR 2023 The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values EMNLP 2023 Aligning Generative Language Models with Human Values NAACL 2022 Aligning to Social Norms and Values in Interactive Narratives NAACL 2022 How to talk so AI will learn: Instructions, descriptions, and autonomy NeurIPS 2022 Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits NeurIPS 2022 Identifying Distributional Perspectives from Colingual Groups NAACL 2021 Indecision Modeling AAAI 2021 Value Alignment Verification ICML 2021 Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NeurIPS 2020