Study group · Library
The reading
library.
3 papers, 0 presented so far. Presented papers come first, with the presenter's card.
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ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu et al.
The pattern behind most tool-using LLM agents, and a base for agentic next-best-action ideas.
MethodAdjacent relevanceLevel 2/5 -
Recommender Systems with Generative Retrieval
Shashank Rajput, Nikhil Mehta, Anima Singh et al.
Replaces nearest-neighbour retrieval with a model that generates item identifiers directly. A different way to think about recommending.
MethodCore relevanceLevel 3/5 -
A Survey on Large Language Models for Recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu et al.
A map of where LLMs fit in a recommender, good for a kick-off overview.
SurveyCore relevanceLevel 2/5
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