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yushengsu-thu authored Nov 15, 2023
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Expand Up @@ -27,7 +27,7 @@ I have 4-year experiences in LLMs. My research spans the areas of natural langua

Recently, I more focuse on <b>interactable and reliable</b> part:

* <b>Interactive AI Agent. (Model Planning and Reasoning)</b> Developing autonomous systems (agents) that can acquire external information through interaction with the environment and utilize the acquired knowledge to drive their decision-making and accomplish more complex long-horizon tasks ([CokeBERT](https://arxiv.org/abs/2009.13964), [CSS-LM](https://arxiv.org/abs/2102.03752), [Tool Leaning](https://arxiv.org/abs/2304.08354), [XAgent](https://blog.x-agent.net/about/), [ChatDev](https://arxiv.org/abs/2307.07924), [AgentVerse](https://arxiv.org/abs/2308.10848)). <small> Note that: We further make autonomous systems (agents) to collaboratively accomplish complex tasks and observe the [emergence of human-like social behaviors](https://arxiv.org/abs/2308.10848). </small>
* <b>Interactive AI Agent. (Model Planning and Reasoning)</b> Developing autonomous systems (agents) that can acquire external information through interaction with the external (environment/human) and utilize the acquired knowledge to drive their decision-making and accomplish more complex long-horizon tasks ([AgentVerse](https://arxiv.org/abs/2308.10848), [XAgent](https://blog.x-agent.net/about/), [CokeBERT](https://arxiv.org/abs/2009.13964), [CSS-LM](https://arxiv.org/abs/2102.03752), [Tool Leaning](https://arxiv.org/abs/2304.08354), [ChatDev](https://arxiv.org/abs/2307.07924)). <small> Note that: We further make autonomous systems (agents) to collaboratively accomplish complex tasks and observe the [emergence of human-like social behaviors](https://arxiv.org/abs/2308.10848). </small>

* <b>AI Alignment. (Model Alignment)</b> Designing paradigms to control, steer, teach, and guide AI systems that smarter than human ([scalable oversight]((https://openai.com/blog/introducing-superalignment))). At the present stage, I am studying how to create a tool that can explore unclosed behavior in AI models and propose a metric/pipeline to autonomously evaluate/self-teach AI models ([Model Emotion](https://arxiv.org/abs/2302.09582), [Chateval](https://arxiv.org/abs/2308.07201)).

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