update

README.md

@@ -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
@@ -105,6 +101,10 @@ If you're interested in the field of LLM, you may find the above list of milesto
 - [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>

paper_list/application.md

@@ -11,6 +11,8 @@
 ### 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
 

paper_list/augmentation.md

@@ -7,5 +7,6 @@
 - (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

paper_list/detection.md

@@ -0,0 +1,11 @@
+# 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)

paper_list/evaluation.md

@@ -28,8 +28,15 @@
 
 - (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