README.md

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NLP & LLM & RAG & GenAI & Agent 에 대한 최신 논문 동향을 파악하고 리스트를 정리해보자!	https://images.unsplash.com/photo-1683723483309-fd1b42875bfb?crop=entropy&cs=srgb&fm=jpg&ixid=M3wxOTcwMjR8MHwxfHNlYXJjaHwyfHxhcmNoaXZ8ZW58MHx8fHwxNzExNTI0MjkzfDA&ixlib=rb-4.0.3&q=85	0	cover title description tableOfContents outline pagination visible size true full visible true visible true visible true visible true visible

Paper List

Paper Review

• Attention is all you need
• CoVe : Chain of Verifiction Reduces Hallucination in Large Language Models
• RAG Survey : A Survey on Retrieval-Augmented Text Generation for Large Language Models
• Interleaving Retrieval with Chain-of-Thought for Knowledge-Intensive Multi-Step Questions
• Taka a Step Back : Evoking Reasoning via Abstraction in Large Language Models

Paper List

• EEVE : Efficient and Effective Vocabulary Expansion Towards Mulitilingual Large Language Models
  • https://arxiv.org/pdf/2402.14714.pdf
• Will GPT-4 Run Doom?
  • https://arxiv.org/pdf/2403.05468.pdf
• PiSSA : Principal Singular Values and Singular Vectors Adaptation of Large Language Models
  • https://arxiv.org/pdf/2404.02948.pdf
• RAFT : Adapting Language Model to Domain Specific RAG
  • https://arxiv.org/pdf/2403.10131.pdf
• ReALM : Reference Resolution As Language Modeling
  • https://arxiv.org/pdf/2403.20329.pdf
• WavLLM : Towards Robust and Adaptive Speech Large Language Model
  • https://arxiv.org/pdf/2404.00656.pdf
• Batch Calibration : Rethinking Calibration for In-Context Learning and Prompt Engineering
  • https://arxiv.org/pdf/2309.17249.pdf?fbclid=IwAR1CxzuKE5BqpKBZk61xlUX3qJNKZ6rI9Z0gGlHSRhsyrvpQ44Ga0wraCu4_aem_ATjGyhm21zmG3fZ5OZZMhj9yCR4tqUDuCHcl9hGTxBGx_yZzV5BjOj92NFnrWpYqT8YmO9PvqfI1DyQZcujKnDI1
• Tokenizer Choice For LLM Training: Negligible or Crucial?
  • https://arxiv.org/pdf/2310.08754.pdf?fbclid=IwAR1uR9YayRIg7CqTzPnGCc8ikdVCBaSdrnaM-u5exJb2WJiZcn1v9Pzd6z4_aem_AYr3BSBDwa0oghSm7lM3-ub30Dq3LnEOg8b97C3o6yoKYbF3lwRNa-wEsACUdUCRolj_zZ025P9dpuqv_dGZMcWk
• AIOS : LLM Agent Operating System
  • Link : https://arxiv.org/pdf/2403.16971.pdf
• Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
  • Link : https://arxiv.org/pdf/2403.01432.pdf
• FollowIR : Evaluating and Teaching Information Retrieval Models to Follow Instructions
  • Link : https://arxiv.org/abs/2403.15246
• Stealing Part of a Production Language Model
  • Link : https://arxiv.org/pdf/2403.06634.pdf
• The Claude 3 Model Family: Opus, Sonnet, Haiku
  • Link : https://www-cdn.anthropic.com/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627/Model_Card_Claude_3.pdf?utm_source=pytorchkr
• Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
  • Link : https://arxiv.org/pdf/2402.19450.pdf
• GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
  • Link : https://arxiv.org/pdf/2403.03507.pdf
• Can Large Language Models Reason and Plan?
  • Link : https://arxiv.org/pdf/2403.04121.pdf
• ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
  • https://arxiv.org/pdf/2303.15056.pdf
• Retrieval-Augmented Generation for AI-Generated Content: A Survey
  • Link : https://arxiv.org/pdf/2402.19473v1.pdf
• KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
  • Link : https://arxiv.org/pdf/2403.03101.pdf
• Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
  • Link : https://arxiv.org/pdf/2402.17177v2.pdf
• SaulLM-7B: A pioneering Large Language Model for Law
  • Link : https://arxiv.org/pdf/2403.03883.pdf
• Design2Code: How Far Are We From Automating Front-End Engineering?
  • Link : https://arxiv.org/pdf/2403.03163.pdf
• TripoSR: Fast 3D Object Reconstruction from a Single Image
  • Link : https://arxiv.org/pdf/2403.02151v1.pdf
• MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
  • Link : https://arxiv.org/pdf/2311.17049.pdf
• MoE : Towards Understanding Mixture of Experts in Deep Learning
  • Link : https://arxiv.org/pdf/2208.02813.pdf
• SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
  • Link : https://arxiv.org/pdf/2402.03620.pdf
• CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models
  • Link : https://arxiv.org/pdf/2212.07769.pdf