model alignment

A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models ICLR 2024 BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024 BATON: Aligning Text-to-Audio Model Using Human Preference Feedback IJCAI 2024 Better Alignment with Instruction Back-and-Forth Translation EMNLP 2024 Beyond Memorization: Violating Privacy via Inference with Large Language Models ICLR 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024 Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation ICLR 2024 Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages ACL 2024 CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NeurIPS 2024 CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion ACL 2024 Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024 Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing EMNLP 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation ACL 2024 Dissecting Human and LLM Preferences ACL 2024 Efficient Adversarial Training in LLMs with Continuous Attacks NeurIPS 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NeurIPS 2024 Entity Embellishment Mitigation in LLMs Output with Noisy Synthetic Dataset for Alignment COLING 2024