Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation | Paper Citation Record

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation GPT-4 Technical Report

Reference 1

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Language Models are Few-Shot Learners

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

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This paper cites Glass, and Pengcheng He.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Glass, and Pengcheng He

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation UltraFeedback: Boosting Language Models with Scaled AI Feedback

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

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This paper cites Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch

Reference 12

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Self-Boosting Large Language Models with Synthetic Preference Data

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This paper cites Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Textbooks Are All You Need

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Editing Models with Task Arithmetic

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This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Aligner: Efficient Alignment by Learning to Correct

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 21

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Hashimoto

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Holistic Evaluation of Language Models

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Aligning Large Language Models with Human Preferences through Representation Engineering

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation SimPO: Simple Preference Optimization with a Reference-Free Reward

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Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation WebGPT: Browser-assisted question-answering with human feedback

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Reference 60

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Reference 61

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Reference 62

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