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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -86,10 +86,6 @@ If you're interested in the field of LLM, you may find the above list of milesto

> Finetune a language model on a collection of tasks described via instructions
- [MOE](paper_list/moe.md)

> Mixture-of-experts architecture for large language models
- [LLM-Evaluation](paper_list/evaluation.md)

> Evaluate different LLMs including ChatGPT in different fields
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- [LLM-Augmentation](paper_list/augmentation.md)

> Augment LLM in different aspects including faithfulness, expressiveness, domain-specific knowledge etc.
- [LLM-Detection](paper_list/detection.md)

> Detect LLM-generated text from texts written by humans
## LLM Leaderboard
<div align=center>
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2 changes: 2 additions & 0 deletions paper_list/application.md
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### 2023

- (2023-03) **Mixture of Soft Prompts for Controllable Data Generation** [paper](https://arxiv.org/pdf/2303.01580.pdf)
- (2023-03) **FaceChat: An Emotion-Aware Face-to-face Dialogue Framework** [paper](https://arxiv.org/abs/2303.07316)
- (2023-03) **Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification** [paper](https://arxiv.org/abs/2303.07142)

## Useful Resources

1 change: 1 addition & 0 deletions paper_list/augmentation.md
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- (2023-01) **REPLUG: Retrieval-Augmented Black-Box Language Models** [paper](https://arxiv.org/abs/2301.12652)
- (2023-02) **Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback** [paper](https://arxiv.org/abs/2302.12813)
- (2023-02) **Augmented Language Models: a Survey** [paper](https://arxiv.org/abs/2302.07842)
- (2023-03) **Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback** [paper](https://arxiv.org/abs/2303.05453)

## Useful Resources
11 changes: 11 additions & 0 deletions paper_list/detection.md
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# Detection

> Detect LLM-generated text from texts written by humans
## Papers

### 2023

- (2023-01) **How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection** [paper](https://arxiv.org/abs/2301.07597) | [project](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection)

- (2023-03) **The Science of Detecting LLM-Generated Texts** [paper](https://arxiv.org/abs/2303.07205)
9 changes: 8 additions & 1 deletion paper_list/evaluation.md
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- (2023-02) **Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization** [paper](https://arxiv.org/abs/2302.08081)

- (2023-03) **How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.** [paper](https://arxiv.org/abs/2303.00293)
- (2023-02) **ChatGPT: potential, prospects, and limitations** [paper](https://doi.org/10.1631/FITEE.2300089)

- (2023-03) **How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.** [paper](https://arxiv.org/abs/2303.00293)

- (2023-03) **Consistency Analysis of ChatGPT** [paper](https://arxiv.org/abs/2303.06273)

- (2023-03) **Could a Large Language Model be Conscious?** [paper](https://arxiv.org/abs/2303.07103)

- (2023-03) **Susceptibility to Influence of Large Language Models** [paper](https://arxiv.org/abs/2303.06074)

## Useful Resources

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