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  1. Jun 16, 2024 · What Is the Natural Approach to Language Learning? Who proposed the natural approach method? What does “natural” mean? What are the four basic principles of the Natural Approach? 1. Pre-production. 2. Early production. 3. Speech emergence. 4. Intermediate fluency. What Are the Characteristics of Natural Approach? Input. Comprehension. Communication

  2. Jun 16, 2024 · Independent language learning is self-directed learning. It’s taking full responsibility for the process. It’s deciding what you want to learn and how you want to learn it. It’s having the freedom to customize your learning experience. The opposite is letting someone else tell you what you should be doing.

  3. 6 days ago · While Large Language Models (LLMs) have achieved remarkable success across various applications, they also raise concerns regarding self-cognition. In this paper, we perform a pioneering study to explore self-cognition in LLMs. Specifically, we first construct a pool of self-cognition instruction prompts to evaluate where an LLM exhibits self-cognition and four well-designed principles to ...

  4. Jun 16, 2024 · You should, because you can learn a language by yourself—and feel like a rock star as you progress towards reaching your specific language goals. Just put these tips into action and you’ll be on the road to success.

  5. Jun 11, 2024 · In this paper, we present Self-Refinement Tuning (SRT), a method that leverages model feedback for alignment, thereby reducing reliance on human annotations. SRT uses a base language model (e.g., Tulu2) to generate initial responses, which are critiqued and refined by a more advanced model (e.g., GPT-4-Turbo).

  6. Jul 1, 2024 · Language is a vital interface between thought, reality, and human engagement, shaping cognitive experiences. LLMs, as cognitive partners, offer new avenues to explore the functional significance...

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  8. Jun 11, 2024 · In our analysis, we find that both high-quality language feedback and refinements are crucial for language models to learn to self-improve. Collectively, we demonstrate that SRT is an effective and efficient strategy for improving the performance of language models.

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