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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
📖 Paper reading list in conversational AI.
| Date | Stars |
|---|---|
| 2026-07-24 | 1042 |
| 2026-07-25 | 1042 |
| 2026-07-28 | 1042 |
| 2026-07-30 | 1042 |
| 2026-08-06 | 1042 |
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# Paper-Reading-ConvAI
Paper reading list in Conversational AI, mainly including 💬 **dialogue systems (agents)** and 📝 **natural language generation**. Contributions are welcome!
- [Deep Learning in NLP](#deep-learning-in-nlp)
- [Dialogue Systems (Agents)](#dialogue-systems-agents)
- [Survey on Dialogue](#survey-on-dialogue)
- [Conversational LLMs and Benchmarks](#conversational-llms-and-benchmarks)
- [LLM-based Dialogue Agents](#llm-based-dialogue-agents)
- [Multi-turn Interaction](#multi-turn-interaction)
- [Long-term Dialogue](#long-term-dialogue)
- [Multimodal Dialogue](#multimodal-dialogue)
- [Situated and Embodied Dialogue](#situated-and-embodied-dialogue)
- [Visually-grounded Dialogue](#visually-grounded-dialogue)
- [Spoken Dialogue](#spoken-dialogue)
- [Proactive Dialogue](#proactive-dialogue)
- [Misc. of Proactive Dialogue](#misc-of-proactive-dialogue)
- [Target-oriented Dialogue](#target-oriented-dialogue)
- [Non-collaborative Dialogue (Persuasion and Negotiation)](#non-collaborative-dialogue-persuasion-and-negotiation)
- [Personalized Dialogue](#personalized-dialogue)
- [Character-based Dialogue](#character-based-dialogue)
- [Personality-aware Dialogue](#personality-aware-dialogue)
- [Persona-based Dialogue](#persona-based-dialogue)
- [Emotional Dialogue](#emotional-dialogue)
- [Emotional Support Dialogue](#emotional-support-dialogue)
- [Empathetic Dialogue](#empathetic-dialogue)
- [Tutoring Dialogue](#tutoring-dialogue)
- [Recommendation Dialogue and CRS](#recommendation-dialogue-and-crs)
- [Knowledge-grounded Dialogue](#knowledge-grounded-dialogue)
- [Task-oriented Dialogue](#task-oriented-dialogue)
- [Open-domain Dialogue](#open-domain-dialogue)
- [Dialogue Evaluation](#dialogue-evaluation)
- [Dialogue Misc.](#dialogue-misc)
- [Natural Language Generation](#natural-language-generation)
- [Survey on NLG](#survey-on-nlg)
- [NLG Theories and Techniques](#nlg-theories-and-techniques)
- [Diffusion Models for NLG](#diffusion-models-for-nlg)
- [Controllable Generation](#controllable-generation)
- [Text Planning](#text-planning)
- [Decoding Algorithms](#decoding-algorithms)
- [NLG Evaluation](#nlg-evaluation)
***
## Deep Learning in NLP
* **iNLP**: "Interactive Natural Language Processing". arXiv(2023) [[paper]](https://arxiv.org/abs/2305.13246) :star::star::star::star:
* **Data Augmentation**: "A Survey of Data Augmentation Approaches for NLP". ACL-Findings(2021) [[paper]](https://arxiv.org/abs/2105.03075)
* **Prompting**: "Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing". arXiv(2021) [[paper]](https://arxiv.org/abs/2107.13586) :star::star::star::star::star:
* **NLP World Scope**: "Experience Grounds Language". EMNLP(2020) [[paper]](https://aclanthology.org/2020.emnlp-main.703/) :star::star::star::star::star:
* **Transformer-XL**: "Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context". ACL(2019) [[paper]](https://www.aclweb.org/anthology/P19-1285) [[code]](https://github.com/kimiyoung/transformer-xl)
* **Transformer**: "Attention is All you Need". NeurIPS(2017) [[paper]](https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf) [[code-official]](https://github.com/tensorflow/tensor2tensor) [[code-tf]](https://github.com/Kyubyong/transformer) [[code-py]](https://github.com/jadore801120/attention-is-all-you-need-pytorch) :star::star::star::star::star:
* **VAE**: "An Introduction to Variational Autoencoders". arXiv(2019) [[paper]](https://arxiv.org/paper/1906.02691.pdf)
* **Survey on Attention**: "An Introductory Survey on Attention Mechanisms in NLP Problems". arXiv(2018) [[paper]](https://arxiv.org/paper/1811.05544.pdf) :star::star::star::star::star:
* **Additive Attention**: "Neural Machine Translation by Jointly Learning to Align and Translate". ICLR(2015) [[paper]](https://arxiv.org/paper/1409.0473.pdf)
* **Multiplicative Attention**: "EffectExcerpt of 133,258 characters
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matched fp:dcf95821cb1551f1, topic:nlp, readme:natural language processing, readme:machine translation