> For the complete documentation index, see [llms.txt](https://hapticai.gitbook.io/hapticai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hapticai.gitbook.io/hapticai/references.md).

# References

Following sets of papers and articles have inspired our current and upcoming build of HapticAI

* [**WebGPT: Browser-assisted question-answering with human feedback**](https://arxiv.org/abs/2112.09332) (OpenAI, 2021):
* [**ChatGPT: Optimizing Language Models for Dialogue**](https://openai.com/blog/chatgpt/) (OpenAI 2022)
* [**Learning to summarize with human feedback**](https://proceedings.neurips.cc/paper/2020/hash/1f89885d556929e98d3ef9b86448f951-Abstract.html) (Stiennon et al., 2020)
* [**Recursively Summarizing Books with Human Feedback**](https://arxiv.org/abs/2109.10862) (OpenAI Alignment Team 2021)
* [**Llama 2**](https://arxiv.org/abs/2307.09288) (Touvron et al. 2023)
* [**Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback**](https://arxiv.org/abs/2204.05862) (Anthropic, 2022)
* [**Fine-Tuning Language Models from Human Preferences**](https://arxiv.org/abs/1909.08593) (Zieglar et al. 2019)
* InstructGPT: [**Training language models to follow instructions with human feedback**](https://arxiv.org/abs/2203.02155) (OpenAI Alignment Team 2022)
* GopherCite: [**Teaching language models to support answers with verified quotes**](https://www.deepmind.com/publications/gophercite-teaching-language-models-to-support-answers-with-verified-quotes) (Menick et al. 2022)
* Sparrow: [**Improving alignment of dialogue agents via targeted human judgements**](https://arxiv.org/abs/2209.14375) (Glaese et al. 2022)
* [**Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning**](https://arxiv.org/abs/2208.02294) (Cohen at al. 2022)
* [**Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**](https://arxiv.org/abs/2210.01241) (Ramamurthy and Ammanabrolu et al. 2022)