BLUR

Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning

573 tip-of-the-tongue questions that need search, reasoning and tool use.

Sky CH-Wang, Darshan Deshpande, Smaranda Muresan, Anand Kannappan, Rebecca Qian

Sky CH-Wang, Darshan Deshpande, Smaranda Muresan, Anand Kannappan, Rebecca Qian

“Icy Vortex”, Foxe Basin, northern Canada
01

In brief

02

Key figure

Base models, AI assistants, agents, a plain search engine and human validators. The best system scores 0.56 against 0.98 for humans.
Base models, AI assistants, agents, a plain search engine and human validators. The best system scores 0.56 against 0.98 for humans.
03

Runs

03

Abstract

We introduce Browsing Lost Unformed Recollections, a tip-of-the-tongue known-item search and reasoning benchmark for general AI assistants. BLUR introduces a set of 573 real-world validated questions that demand searching and reasoning across multi-modal and multilingual inputs, as well as proficient tool use, in order to excel on. Humans easily ace these questions (scoring on average 98%), while the best-performing system scores around 56%. To facilitate progress toward addressing this challenging and aspirational use case for general AI assistants, we release 350 questions through a public leaderboard, retain the answers to 250 of them, and have the rest as a private test set.

Cite this
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Sky CH-Wang, Darshan Deshpande, Smaranda Muresan, Anand Kannappan, Rebecca Qian. Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning. In ACL 2025. arXiv:2503.19193.
@inproceedings{chwang2025blur, title={Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning}, author={Sky CH-Wang and Darshan Deshpande and Smaranda Muresan and Anand Kannappan and Rebecca Qian}, booktitle={ACL 2025}, year={2025}, eprint={2503.19193}, archivePrefix={arXiv} }
arXiv 2503.19193
March 24, 2025
ACL 2025
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blur
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