Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …

Open-domain generative systems have gained significant attention in the field of
conversational AI (eg, generative search engines). This paper presents a comprehensive …

Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

Large language models (LLMs) have shown superior performance without task-specific fine-
tuning. Despite the success, the knowledge stored in the parameters of LLMs could still be …

A recent focus of large language model (LLM) development, as exemplified by generative
search engines, is to incorporate external references to generate and support its claims …

Making the contents generated by Large Language Model (LLM), accurate, credible and
traceable is crucial, especially in complex knowledge-intensive tasks that require multi-step …

Retrieval-Augmented Generation (RAG) has quickly grown into a pivotal paradigm in the
development of Large Language Models (LLMs). While much of the current research in this …

As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …

Improvements in language models' capabilities have pushed their applications towards
longer contexts, making long-context evaluation and development an active research area …