# Dialog systems, Information retrieval

{% embed url="<https://arxiv.org/abs/1811.01241>" %}

{% embed url="<https://arxiv.org/abs/1809.05524>" %}

[*Extending Neural Generative Conversational Model Using External Knowledge Sources*](http://scholar.google.com/scholar?q=allintitle%3A+%22Extending+Neural+Generative+Conversational+Model+Using+External+Knowledge+Sources%22+author%3AParthasarathi+author%3APineau\&hl=en) by Prasanna Parthasarathi and Joelle Pineau,

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[*Wizard of Wikipedia: Knowledge-powered Conversational Agents*](http://scholar.google.com/scholar?q=allintitle%3A+%22Wizard+of+Wikipedia:+Knowledge-powered+Conversational+Agents%22+author%3ADinan+author%3ARoller+author%3AShuster\&hl=en) by Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli and Jason Weston, [*Latent Retrieval for Weakly Supervised Open Domain Question Answering*](http://scholar.google.com/scholar?q=allintitle%3A+%22Latent+Retrieval+for+Weakly+Supervised+Open+Domain+Question+Answering%22+author%3ALee+author%3AChang+author%3AToutanova\&hl=en) by Kenton Lee, Ming-Wei Chang and Kristina Toutanova, \\

[*Internet-augmented Dialogue Generation*](http://scholar.google.com/scholar?q=allintitle%3A+%22Internet-augmented+Dialogue+Generation%22+author%3AKomeili+author%3AShuster+author%3AWeston\&hl=en) by Mojtaba Komeili, Kurt Shuster and Jason Weston and [*Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion*](http://scholar.google.com/scholar?q=allintitle%3A+%22Language+Models+that+Seek+for+Knowledge:+Modular+Search+&+Generation+for+Dialogue+and+Prompt+Completion%22+author%3AShuster+author%3AKomeili+author%3AAdolphs\&hl=en) by Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam and Jason Weston.

[*Reason First, then Respond: Modular Generation for Knowledge-infused Dialogue*](http://scholar.google.com/scholar?q=allintitle%3A+%22Reason+First,+then+Respond:+Modular+Generation+for+Knowledge-infused+Dialogue%22+author%3AAdolphs+author%3AShuster+author%3AUrbanek\&hl=en) by Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam and Jason Weston and [*Chain of Thought Prompting Elicits Reasoning in Large Language Models*](http://scholar.google.com/scholar?q=allintitle%3A+%22Chain+of+Thought+Prompting+Elicits+Reasoning+in+Large+Language+Models%22+author%3AWei+author%3AWang+author%3ASchuurmans\&hl=en) by Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le and Denny Zhou.

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[*Recent Advances in Neural Text Generation: A Task-agnostic Survey*](http://scholar.google.com/scholar?q=allintitle%3A+%22Recent+Advances+in+Neural+Text+Generation:+A+Task-agnostic+Survey%22+author%3ATang+author%3AGuerin+author%3ALi\&hl=en) by Chen Tang, Frank Guerin, Yucheng Li and Chenghua Lin and [*Using Natural Language Generation to Bootstrap Missing Wikipedia Articles: A Human-centric Perspective*](http://scholar.google.com/scholar?q=allintitle%3A+%22Using+Natural+Language+Generation+to+Bootstrap+Missing+Wikipedia+Articles:+A+Human-centric+Perspective%22+author%3AKaffee+author%3AVougiouklis+author%3ASimperl\&hl=en) by Lucie-Aimée Kaffee, Pavlos Vougiouklis and Elena Simperl.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.thottingal.in/machine-learning/dialog-systems-information-retrieval.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.