added papers for the week

1 year ago · 90e656a180
parent cbdcaebfd6
commit 90e656a180
9 changed files with 89 additions and 25 deletions
--- a/pages/_meta.en.json
+++ b/pages/_meta.en.json
@ -14,6 +14,10 @@
    "title": "About",
    "type": "page"
  },
+  "course":{
+    "title": "Prompt Engineering Course",
+    "type": "page"
+  },
  "contact": {
    "title": "Contact ↗",
    "type": "page",
--- a/pages/_meta.zh.json
+++ b/pages/_meta.zh.json
@ -1,24 +1,27 @@
 {
-    "index": "Prompt Engineering",
-    "introduction": "Introduction",
-    "techniques": "Techniques",
-    "applications": "Applications",
-    "models": "Models",
-    "risks": "Risks & Misuses",
-    "papers": "Papers",
-    "tools": "Tools",
-    "notebooks": "Notebooks",
-    "datasets": "Datasets",
-    "readings": "Additional Readings",
-    "about": {
-      "title": "About",
-      "type": "page"
-    },
-    "contact": {
-      "title": "Contact ↗",
-      "type": "page",
-      "href": "https://twitter.com/dair_ai",
-      "newWindow": true
-    }
+  "index": "Prompt Engineering",
+  "introduction": "Introduction",
+  "techniques": "Techniques",
+  "applications": "Applications",
+  "models": "Models",
+  "risks": "Risks & Misuses",
+  "papers": "Papers",
+  "tools": "Tools",
+  "notebooks": "Notebooks",
+  "datasets": "Datasets",
+  "readings": "Additional Readings",
+  "about": {
+    "title": "About",
+    "type": "page"
+  },
+  "course":{
+    "title": "Prompt Engineering Course",
+    "type": "page"
+  },
+  "contact": {
+    "title": "Contact ↗",
+    "type": "page",
+    "href": "https://twitter.com/dair_ai",
+    "newWindow": true
  }
-  
+}
--- a/pages/course.en.mdx
+++ b/pages/course.en.mdx
@ -0,0 +1,9 @@
+# Prompt Engineering Course
+
+We have partnered with Sphere to deliver a ["Prompting Engineering for LLMs"](https://www.getsphere.com/cohorts/prompt-engineering-for-llms?source=promptingguide) course in May, 2023. 
+
+This hands-on course is designed to teach all the latest prompt engineering techniques and tools used in the real-world for effectively building applications of top of large language models.
+
+If you want to take your prompt engineering skills to the next level, we highly recommend the course.
+
+This course also includes a certificate of completion.
--- a/pages/course.zh.mdx
+++ b/pages/course.zh.mdx
@ -0,0 +1,11 @@
+# Prompt Engineering Course
+
+We have partnered with Sphere to deliver a ["Prompting Engineering for LLMs"](https://www.getsphere.com/cohorts/prompt-engineering-for-llms?source=promptingguide) course in May, 2023. 
+
+This hands-on course is designed to teach all the latest prompt engineering techniques and tools used in the real-world for effectively building applications of top of large language models.
+
+If you want to take your prompt engineering skills to the next level, we highly recommend the course.
+
+This course also includes a certificate of completion.
+
+Note that this course will be delivered in English.
--- a/pages/models/chatgpt.en.mdx
+++ b/pages/models/chatgpt.en.mdx
@ -145,6 +145,23 @@ The current recommendation for `gpt-3.5-turbo-0301` is to add instructions in th
 ---
 ## References

+- [HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace](https://arxiv.org/abs/2303.17580) (March 2023)
+- [WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research](https://arxiv.org/abs/2303.17395) (March 2023)
+- [Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study](https://arxiv.org/abs/2303.17466) (March 2023)
+- [Yes but.. Can ChatGPT Identify Entities in Historical Documents?](https://arxiv.org/abs/2303.17322) (March 2023)
+- [Evaluation of ChatGPT for NLP-based Mental Health Applications](https://arxiv.org/abs/2303.15727) (March 2023)
+- [A Perspectival Mirror of the Elephant: Investigating Language Bias on Google, ChatGPT, Wikipedia, and YouTube](https://arxiv.org/abs/2303.16281) (March 2023)
+- [ChatGPT or academic scientist? Distinguishing authorship with over 99% accuracy using off-the-shelf machine learning tools](https://arxiv.org/abs/2303.16352) (March 2023)
+- [Zero-shot Clinical Entity Recognition using ChatGPT](https://arxiv.org/abs/2303.16416) (March 2023)
+- [ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models](https://arxiv.org/abs/2303.16421) (March 2023)
+- [ChatGPT4PCG Competition: Character-like Level Generation for Science Birds](https://arxiv.org/abs/2303.15662) (March 2023)
+- [ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization](https://arxiv.org/abs/2303.15621) (March 2023)
+- [Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System](https://arxiv.org/abs/2303.14524) (March 2023)
+- [A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability](https://arxiv.org/abs/2303.13547) (March 2023)
+- [Towards Making the Most of ChatGPT for Machine Translation](https://arxiv.org/abs/2303.13780) (March 2023)
+- [Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT](https://arxiv.org/abs/2303.13809) (March 2023)
+- [ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks](https://arxiv.org/pdf/2303.15056v1.pdf) (March 2023)
+- [ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark](https://arxiv.org/abs/2303.13648) (March 2023)
 - [ChatGPT and a New Academic Reality: AI-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing](https://arxiv.org/abs/2303.13367) (March 2023)
 - [Are LLMs the Master of All Trades? : Exploring Domain-Agnostic Reasoning Skills of LLMs](https://arxiv.org/abs/2303.12810) (March 2023)
 - [Is ChatGPT A Good Keyphrase Generator? A Preliminary Study](https://arxiv.org/abs/2303.13001) (March 2023)
--- a/pages/models/gpt-4.en.mdx
+++ b/pages/models/gpt-4.en.mdx
@ -160,6 +160,10 @@ Coming soon!

 ## References

+- [Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams](https://arxiv.org/abs/2303.17003) (March 2023)
+- [GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment](https://arxiv.org/abs/2303.16634) (March 2023)
+- [Humans in Humans Out: On GPT Converging Toward Common Sense in both Success and Failure](https://arxiv.org/abs/2303.17276) (March 2023)
+- [GPT is becoming a Turing machine: Here are some ways to program it](https://arxiv.org/abs/2303.14310) (March 2023)
 - [Mind meets machine: Unravelling GPT-4's cognitive psychology](https://arxiv.org/abs/2303.11436) (March 2023)
 - [Capabilities of GPT-4 on Medical Challenge Problems](https://www.microsoft.com/en-us/research/uploads/prod/2023/03/GPT-4_medical_benchmarks.pdf) (March 2023)
 - [GPT-4 Technical Report](https://cdn.openai.com/papers/gpt-4.pdf) (March 2023)
--- a/pages/models/llama.en.mdx
+++ b/pages/models/llama.en.mdx
@ -34,6 +34,7 @@ Overall, LLaMA-13B outperform GPT-3(175B) on many benchmarks despite being 10x s

 ## References

+- [LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention](https://arxiv.org/abs/2303.16199) (March 2023)
 - [GPT4All](https://github.com/nomic-ai/gpt4all) (March 2023)
 - [ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge](https://arxiv.org/abs/2303.14070) (March 2023)
 - [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) (March 2023)
--- a/pages/papers.en.mdx
+++ b/pages/papers.en.mdx
@ -4,6 +4,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri

 ## Overviews

+  - [Nature Language Reasoning, A Survey](https://arxiv.org/abs/2303.14725) (March 2023)
  - [Augmented Language Models: a Survey](https://arxiv.org/abs/2302.07842) (Feb 2023)
  - [A Survey for In-context Learning](https://arxiv.org/abs/2301.00234) (Dec 2022)
  - [Towards Reasoning in Large Language Models: A Survey](https://arxiv.org/abs/2212.10403) (Dec 2022)
@ -14,8 +15,9 @@ The following are the latest papers (sorted by release date) on prompt engineeri

 ## Approaches
  
-  - [Visual-Language Prompt Tuning with Knowledge-guided Context Optimization](https://arxiv.org/abs/2303.13283) (March 2023)
-  - [Fairness-guided Few-shot Prompting for Large Language Models](https://arxiv.org/abs/2303.13217) (March 2023)
+  - [kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference](https://arxiv.org/abs/2303.13824) (Mar 2023)
+  - [Visual-Language Prompt Tuning with Knowledge-guided Context Optimization](https://arxiv.org/abs/2303.13283) (Mar 2023)
+  - [Fairness-guided Few-shot Prompting for Large Language Models](https://arxiv.org/abs/2303.13217) (Mar 2023)
  - [Context-faithful Prompting for Large Language Models](https://arxiv.org/abs/2303.11315) (Mar 2023)
  - [Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning](https://arxiv.org/abs/2303.10475) (Mar 2023)
  - [UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation](https://arxiv.org/abs/2303.08518) (Mar 2023)
@ -116,6 +118,16 @@ The following are the latest papers (sorted by release date) on prompt engineeri

 ## Applications
  
+  - [BloombergGPT: A Large Language Model for Finance](https://arxiv.org/abs/2303.17564) (March 2023)
+  - [Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts](https://arxiv.org/abs/2303.17408) (March 2023)
+  - [Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes](https://arxiv.org/abs/2303.15846) (March 2023)
+  - [TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs](https://arxiv.org/abs/2303.16434) (March 2023)
+  - [Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning](https://arxiv.org/abs/2303.16445) (March 2023)
+  - [Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clauses](https://arxiv.org/abs/2303.15587) (March 2023)
+  - [Knowledge-augmented Frame Semantic Parsing with Hybrid Prompt-tuning](https://arxiv.org/abs/2303.14375) (March 2023)
+  - [Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation](https://arxiv.org/abs/2303.15413) (March 2023)
+  - [Zero-shot Model Diagnosis](https://arxiv.org/abs/2303.15441#) (March 2023)
+  - [Prompting Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages](https://arxiv.org/abs/2303.13592) (March 2023)
  - [SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization](https://arxiv.org/abs/2303.13035) (March 2023)
  - [Large Language Models and Simple, Stupid Bugs](https://arxiv.org/abs/2303.11455) (March 2023)
  - [Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?](https://arxiv.org/abs/2303.09325) (Mar 2023)
@ -151,6 +163,7 @@ The following are the latest papers (sorted by release date) on prompt engineeri
  - [Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language](https://arxiv.org/abs/2210.15157) (Oct 2022)
  - [Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?](https://arxiv.org/abs/2210.14699) (Oct 2022)
  - [Plot Writing From Scratch Pre-Trained Language Models](https://aclanthology.org/2022.inlg-main.5) (July 2022)
+  - [Survey of Hallucination in Natural Language Generation](https://arxiv.org/abs/2202.03629) (Feb 2022)

 ## Collections

--- a/pages/readings.en.mdx
+++ b/pages/readings.en.mdx
@ -6,7 +6,6 @@
 - [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
 - [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering)
 - [A Generic Framework for ChatGPT Prompt Engineering](https://medium.com/@thorbjoern.heise/a-generic-framework-for-chatgpt-prompt-engineering-7097f6513a0b)
- [CS 324 - Advances in Foundation Models](https://stanford-cs324.github.io/winter2023/)
 - [An SEO’s guide to ChatGPT prompts](https://searchengineland.com/chatgpt-prompts-seo-393523)
 - [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)
 - [AI's rise generates new job title: Prompt engineer](https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job)
@ -19,11 +18,13 @@
 - [Can AI really be protected from text-based attacks?](https://techcrunch.com/2023/02/24/can-language-models-really-be-protected-from-text-based-attacks/)
 - [ChatGPT, AI and GPT-3 Apps and use cases](https://gpt3demo.com)
 - [ChatGPT Prompts](https://twitter.com/aaditsh/status/1636398208648658945?s=20)
+- [ChatGPT Plugins Collection ⭐️ (unofficial)](https://github.com/logankilpatrick/ChatGPT-Plugins-Collection)
 - [CMU Advanced NLP 2022: Prompting](https://youtube.com/watch?v=5ef83Wljm-M&feature=shares)
 - [Common Sense as Dark Matter - Yejin Choi | Stanford MLSys #78](https://youtube.com/live/n4HakBqoCVg?feature=shares)
 - [Create images with your words – Bing Image Creator comes to the new Bing](https://blogs.microsoft.com/blog/2023/03/21/create-images-with-your-words-bing-image-creator-comes-to-the-new-bing/)
 - [Curtis64's set of prompt gists](https://gist.github.com/Curtis-64)
 - [CS324 - Large Language Models](https://stanford-cs324.github.io/winter2022/)
+- [CS 324 - Advances in Foundation Models](https://stanford-cs324.github.io/winter2023/)
 - [CS224N: Natural Language Processing with Deep Learning](https://web.stanford.edu/class/cs224n/)
 - [DALL·E 2 Prompt Engineering Guide](https://docs.google.com/document/d/11WlzjBT0xRpQhP9tFMtxzd0q6ANIdHPUBkMV-YB043U/edit#)
 - [DALL·E 2 Preview - Risks and Limitations](https://github.com/openai/dalle-2-preview/blob/main/system-card.md)
@ -61,6 +62,7 @@
 - [NLP for Text-to-Image Generators: Prompt Analysis](https://heartbeat.comet.ml/nlp-for-text-to-image-generators-prompt-analysis-part-1-5076a44d8365)
 - [NLP with Deep Learning CS224N/Ling284 - Lecture 11: Promting, Instruction Tuning, and RLHF](http://web.stanford.edu/class/cs224n/slides/cs224n-2023-lecture11-prompting-rlhf.pdf)
 - [Notes for Prompt Engineering by sw-yx](https://github.com/sw-yx/ai-notes)
+- [On pitfalls (and advantages) of sophisticated large language models](https://arxiv.org/abs/2303.17511)
 - [OpenAI Cookbook](https://github.com/openai/openai-cookbook)
 - [OpenAI Prompt Examples for several applications](https://platform.openai.com/examples)
 - [Pretrain, Prompt, Predict -  A New Paradigm for NLP](http://pretrain.nlpedia.ai)