conftrace_

model alignment

226 papers

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Co-occurring keywords

large language model (13587) reinforcement learning from human feedback (278) direct preference optimization (332) preference optimization (302) language model alignment (142) preference learning (418) reinforcement learning (4352) reward model (276) language model (4599) instruction following (396)

Papers

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives EMNLP 2024
Reverse-Engineering the Reader EMNLP 2024
ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages ACL 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024
Aligning Large and Small Language Models via Chain-of-Thought Reasoning EACL 2024
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections NAACL 2024
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection NAACL 2024
Towards Healthy AI: Large Language Models Need Therapists Too NAACL 2024
Phased Instruction Fine-Tuning for Large Language Models ACL 2024
Teaching Language Models to Self-Improve by Learning from Language Feedback ACL 2024
Jailbreak Open-Sourced Large Language Models via Enforced Decoding ACL 2024
Aligning Large Language Models via Fine-grained Supervision ACL 2024
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion ACL 2024
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks EMNLP 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities EMNLP 2024
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing EMNLP 2024
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing EMNLP 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024