Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
38 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
41 tokens/sec
o3 Pro
7 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Search Still Matters: Information Retrieval in the Era of Generative AI (2311.18550v2)

Published 30 Nov 2023 in cs.IR and cs.AI

Abstract: Objective: Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative AI, based on LLMs, fit into the IR process? Process: This perspective explores the use of generative AI in the context of the motivations, considerations, and outcomes of the IR process with a focus on the academic use of such systems. Conclusions: There are many information needs, from simple to complex, that motivate use of IR. Users of such systems, particularly academics, have concerns for authoritativeness, timeliness, and contextualization of search. While LLMs may provide functionality that aids the IR process, the continued need for search systems, and research into their improvement, remains essential.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (1)
  1. William R. Hersh (3 papers)
Citations (12)