1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2026★ 1 cited
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
Fengran Mo, Zhan Su, Yuchen Hui +6
The development of large language models (LLMs) has achieved superior performance in a range of downstream tasks, including LLM-based retrieval-augmented generation (RAG). The qual…
cs.IR2025
Diversification as Risk Minimization
Rikiya Takehi, Fernando Diaz, Tetsuya Sakai
Users tend to remember failures of a search session more than its many successes. This observation has led to work on search robustness, where systems are penalized if they perform…
cs.IR2024
LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
Rikiya Takehi, Ellen M. Voorhees, Tetsuya Sakai +1
Test collections are information-retrieval tools that allow researchers to quickly and easily evaluate ranking algorithms. While test collections have become an integral part of IR…