arXiv:2306.16668
공식 코드 · Papers with Code
Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models
원문 초록
As in other fields of artificial intelligence, the information retrieval community has grown interested in investigating the power consumption associated with neural models, particularly models of search. This interest has become particularly relevant as the energy consumption of information retrieval models has risen with new neural models based on large language models, leading to an associated increase of CO2 emissions, albeit relatively low compared to fields such as natural language processing.
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JointRank: Rank Large Set with Single Pass
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
Retrieval Augmented Generation based Large Language Models for Causality Mining
토론
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