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awesome-instruction-learning
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
https://github.com/RenzeLou/awesome-instruction-learning
Last synced: 3 days ago
JSON representation
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5. 📊 Analyses
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5.3 Robustness and Safety
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5.4 Evaluation
- [pdf - v2-suite-6551b56e743e6349aab45101)]
- [pdf - lab/instruct-eval)]; [[leaderboard](https://declare-lab.net/instruct-eval/)].
- [pdf - instruct)].
- [pdf - instruct)].
- [pdf - lab/instruct-eval)]; [[leaderboard](https://declare-lab.net/instruct-eval/)].
- [pdf - v2-suite-6551b56e743e6349aab45101)]
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5.5 Negation
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5.1 Scale
- [pdf - coai/UDIT)].
- [pdf - workshop/t-zero)]; [[corpus](https://github.com/bigscience-workshop/promptsource)].
- [pdf - research/flan)].
- [pdf - ul2)].
- [pdf - t5)].
- [pdf - research/prompt-tuning)].
- [pdf - research/FLAN/tree/main/flan/v2)]; [[corpus](https://huggingface.co/datasets/SirNeural/flan_v2)].
- [pdf - coai/UDIT)].
- [pdf - t5)].
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5.2 Explanability
- [pdf - demonstrations)].
- [pdf - waywardness)].
- [pdf - nlp/WhatICLLearns)].
- [pdf - transformers)].
- [pdf - based-demonstration-selection)].
- [pdf - research/tree/master/incontext)].
- [pdf - shot-learning)].
- [pdf - nlp/WhatICLLearns)].
- [pdf - transformers)].
- [pdf - based-demonstration-selection)].
- [pdf - demonstrations)].
- [pdf - shot-learning)].
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5.6 Complexity
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5.7 Other Papers
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4. 🗂️ Taxonomy
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4.1 Entailment-oriented Instruction
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4.2 PLM-oriented Instruction
- [pdf - prompt)].
- [pdf - coai/PPT)].
- [pdf - prompt)].
- [pdf - coai/PPT)].
- [pdf - tuning-v2)].
- [pdf - tuning)].
- [pdf - prompts)].
- [pdf - nlp/LM-BFF)].
- this repository
- [pdf - coai/PPT)].
- [pdf - prompt)].
- [pdf - tuning-v2)].
- [pdf - tuning)].
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4.3 Human-oriented Instruction
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6. 🤖 Applications
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6.1 Human-Computer Interaction
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6.2 Data and Feature Augmentation
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6.3 General-purpose Language Models
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6.4 Other Papers
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3. 📚 Corpora
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❤️ Contribution
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2. 🎓 Surveys and Tutorials
- [pdf - instruction-learning)]. 
- [pdf - FFA07A)
- [pdf - 9cf)
- [pdf - context demonstrations](https://img.shields.io/badge/demonstrations-FFB6C1)
- [pdf - reasoning)]. 
- [pdf - 9cf)
- [pdf - 9cf)
- [pdf - context demonstrations](https://img.shields.io/badge/demonstrations-FFB6C1)
- [pdf - 9cf)
- [pdf - reasoning)]. 
- [pdf - 90EE90)
- comprehensive - context instruction, including , few-shot , and CoT .
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⭐ Star History
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7.5 Other Papers
- ![Star History Chart - history.com/#RenzeLou/awesome-instruction-learning&Date)
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7. 📖 Extended Reading
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7.1 Instruction Induction
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7.2 ChatGPT-related Papers
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7.3 Human Feedback vs. Model Feedback
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7.4 Scalable Oversight and Alignment
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7.5 Other Papers
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Categories
Sub Categories
6.1 Human-Computer Interaction
30
4.2 PLM-oriented Instruction
28
5.2 Explanability
26
4.3 Human-oriented Instruction
23
5.1 Scale
17
6.4 Other Papers
15
4.1 Entailment-oriented Instruction
14
7.2 ChatGPT-related Papers
13
7.3 Human Feedback vs. Model Feedback
12
5.3 Robustness and Safety
11
7.5 Other Papers
9
6.3 General-purpose Language Models
9
6.2 Data and Feature Augmentation
9
5.4 Evaluation
8
5.7 Other Papers
7
7.1 Instruction Induction
6
5.6 Complexity
6
7.4 Scalable Oversight and Alignment
3
5.5 Negation
2