Kaplan et al.
Learned context curation boosts LLM catalog search accuracy
RPTune combines product pruning/reordering with LLM post-training to improve search results for small merchants.
Big Tech
Chuxuan Hu · Hejie Cui · Norman Huang · Shubham Kumar Bharti · Wang-Chiew Tan · Sercan Ö. Arık
Google · University of Illinois Urbana-Champaign
Research Digest··2 min read
The authors propose RPTune, a framework that learns how to curate product catalogs for long-context LLMs and fine-tunes the LLM to better use the curated input.
Why this paper
From Google and University of Illinois Urbana-Champaign
In one line
Context curation and post-training with RPTune improves LLM catalog search accuracy by up to 31.4 percentage points.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (2 benchmarks)
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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