Recommender systems in the era of large language models (llms)
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an important component of our daily life, providing personalized suggestions …
have become an important component of our daily life, providing personalized suggestions …
Recommender systems in the era of large language models (llms)
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component in our daily lives, providing …
have become an indispensable and important component in our daily lives, providing …
A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
A survey on in-context learning
With the increasing ability of large language models (LLMs), in-context learning (ICL) has
become a new paradigm for natural language processing (NLP), where LLMs make …
become a new paradigm for natural language processing (NLP), where LLMs make …
A survey on rag meeting llms: Towards retrieval-augmented large language models
As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …
Exploring human-like translation strategy with large language models
Large language models (LLMs) have demonstrated impressive capabilities in general
scenarios, exhibiting a level of aptitude that approaches, in some aspects even surpasses …
scenarios, exhibiting a level of aptitude that approaches, in some aspects even surpasses …
Adversarial demonstration attacks on large language models
With the emergence of more powerful large language models (LLMs), such as ChatGPT and
GPT-4, in-context learning (ICL) has gained significant prominence in leveraging these …
GPT-4, in-context learning (ICL) has gained significant prominence in leveraging these …
What and how does in-context learning learn? bayesian model averaging, parameterization, and generalization
In this paper, we conduct a comprehensive study of In-Context Learning (ICL) by addressing
several open questions:(a) What type of ICL estimator is learned by large language …
several open questions:(a) What type of ICL estimator is learned by large language …
Ideal: Influence-driven selective annotations empower in-context learners in large language models
In-context learning is a promising paradigm that utilizes in-context examples as prompts for
the predictions of large language models. These prompts are crucial for achieving strong …
the predictions of large language models. These prompts are crucial for achieving strong …
Large language models can be guided to evade ai-generated text detection
Large language models (LLMs) have shown remarkable performance in various tasks and
have been extensively utilized by the public. However, the increasing concerns regarding …
have been extensively utilized by the public. However, the increasing concerns regarding …