Co-occurring keywords · papers mentioning both
Papers
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
ICML 2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
EMNLP 2025
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
EMNLP 2025
Multi-Domain Explainability of Preferences
EMNLP 2025
Multi-lingual Multi-turn Automated Red Teaming for LLMs
NAACL 2025
QA‐LIGN: Aligning LLMs through Constitutionally Decomposed QA
EMNLP 2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
EMNLP 2025
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
EMNLP 2025
RMB: Comprehensively benchmarking reward models in LLM alignment
ICLR 2025
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
ACL 2025
Self-Boosting Large Language Models with Synthetic Preference Data
ICLR 2025
Token-Aware Editing of Internal Activations for Large Language Model Alignment
EMNLP 2025
Toward Optimal LLM Alignments Using Two-Player Games
EMNLP 2025
UAlign: LLM Alignment Benchmark for the Ukrainian Language
ACL 2025
ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
EMNLP 2025
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
EMNLP 2024
A Grounded Preference Model for LLM Alignment
ACL 2024
Distract Large Language Models for Automatic Jailbreak Attack
EMNLP 2024
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
EMNLP 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
NeurIPS 2024
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
ACL 2024
Reasons to Reject? Aligning Language Models with Judgments
ACL 2024
Self-Evolution Fine-Tuning for Policy Optimization
EMNLP 2024
SimPO: Simple Preference Optimization with a Reference-Free Reward
NeurIPS 2024
Stress-Testing Capability Elicitation With Password-Locked Models
NeurIPS 2024