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cs.IR2026
Group-Aware Adaptive Retrieval for Evidence Navigation
June Park, Jun Kwon, Jonghyo Kim +1
Reasoning-intensive retrieval addresses queries whose relevance cannot be identified by surface-level matching, thereby requiring multi-step reasoning. Because relevant documents r…
cs.IR2026
From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines
Sunkyung Lee, Jihye Back, Donghyeon Jeon +4
Generative information retrieval (GenIR) formulates the retrieval process as a text-to-text generation task, leveraging the vast knowledge of large language models. However, existi…
cs.IR2025
Multi-view-guided Passage Reranking with Large Language Models
Jeongwoo Na, Jun Kwon, Eunseong Choi +1
Recent advances in large language models (LLMs) have shown impressive performance in passage reranking tasks. Despite their success, LLM-based methods still face challenges in effi…