SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment | Paper Citation Record

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment write newline

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment GPT-4 Technical Report

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Mitigating Catastrophic Forgetting in Language Transfer via Model Merging

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Open-Domain Question Answering Goes Conversational via Question Rewriting

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Continual Memorization of Factoids in Language Models

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Evaluating Large Language Models Trained on Code

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment QuAC : Question Answering in Context

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Franke, Michael Hefenbrock, and Frank Hutter

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Retrieval-Augmented Generation for Large Language Models: A Survey

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Measuring Massive Multitask Language Understanding

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Measuring Mathematical Problem Solving With the MATH Dataset

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Distilling the Knowledge in a Neural Network

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment A Closer Look at Knowledge Distillation with Features, Logits, and Gradients

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment LoRA: Low-Rank Adaptation of Large Language Models

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Demystifying language model forgetting with low-rank example associations

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Mixture of Experts Meets Prompt-Based Continual Learning

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

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Reference 59

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs

Reference 60

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Learn more, but bother less: parameter efficient continual learning

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Observation abc3a115-907d-4dc5-86b9-8526e6b8098a · outbound

This paper cites Code Llama: Open Foundation Models for Code.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Code Llama: Open Foundation Models for Code

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Gradient Projection Memory for Continual Learning

Reference 63

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 66

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Continual Learning of Large Language Models: A Comprehensive Survey

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment MathScale: Scaling Instruction Tuning for Mathematical Reasoning

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment LLaMA: Open and Efficient Foundation Language Models

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment LoRA Meets Dropout under a Unified Framework

Reference 74

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain

Reference 75

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Reference 76

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Orthogonal Subspace Learning for Language Model Continual Learning

Reference 77

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 78

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Reference 79

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Magicoder: Empowering Code Generation with OSS-Instruct

Reference 80

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Reference 81

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment BloombergGPT: A Large Language Model for Finance

Reference 82

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Continual Learning for Large Language Models: A Survey

Reference 83

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Reference 84

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Improving Fast Segmentation With Teacher-student Learning

Reference 85

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Forgetting, ignorance or myopia: Revisiting key challenges in online continual learning

Reference 86

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Observation d8cac4eb-f770-447c-9f2a-1e57bb45762a · outbound

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment LLAVADI: What Matters For Multimodal Large Language Models Distillation

Reference 87

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 88

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 89

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Is Parameter Collision Hindering Continual Learning in LLMs?

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:34:47.040107Z

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Observation 3c0e4c43-0d7d-4dcb-9529-2ad2f433b79c · outbound

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment CRAG -- Comprehensive RAG Benchmark

Reference 91

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Corda: Context-oriented decomposition adaptation of large language models for task-aware parameter-efficient fine-tuning

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:34:48.077453Z

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Observation ee1b6746-5f5b-4d6d-b172-7ac2f1480a93 · outbound

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning

Reference 93

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Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:34:48.064781Z

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Observation 63ec1a7f-7946-49aa-bd09-a7f904262523 · outbound

This paper cites Entropy Law: The Story Behind Data Compression and LLM Performance.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 95

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Observation fffb81e0-e4c3-4a3e-bd52-ce1cfe36ad5f · outbound

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:46.839599Z

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Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:34:48.052487Z

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Observation da7583fd-32d8-4007-ab73-70a358f0a9b3 · outbound

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 98

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SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language Models

Reference 99

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Reference 100

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Coverage vector

Reference resolution

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Pith citing papers