Co-occurring keywords · papers mentioning both
Papers
Compositional Preference Models for Aligning LMs
ICLR 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
EMNLP 2024
Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
Direct Preference Optimization with an Offset
ACL 2024
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
ACL 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
EMNLP 2024
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
EMNLP 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models
EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences
EMNLP 2024
Evolutionary Contrastive Distillation for Language Model Alignment
EMNLP 2024
Filtered Direct Preference Optimization
EMNLP 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NeurIPS 2024
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
NeurIPS 2024
Improving Context-Aware Preference Modeling for Language Models
NeurIPS 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
EMNLP 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NeurIPS 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification
NeurIPS 2024
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
EMNLP 2024
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
EMNLP 2024
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
EMNLP 2024
LIONs: An Empirically Optimized Approach to Align Language Models
EMNLP 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
NeurIPS 2024
Multi-turn Reinforcement Learning with Preference Human Feedback
NeurIPS 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
EMNLP 2024