The authors built nine controlled marketplace environments in which agents search, compare and purchase products.
Marketplace Steering Often Diverts Computer Agents From Users’ Best Choices
Across controlled shopping environments, common promotional mechanisms sharply reduced agents’ selection of products that best matched user requirements.
Big Tech
Yuxuan Li · Will Epperson · Wesley Deng · Zezhou Huang
Carnegie Mellon University · Microsoft Research
Research Digest··2 min read
Li and colleagues introduce CAVEAT, a benchmark testing whether computer-use agents preserve user objectives when online marketplaces favor competing outcomes.
Why this paper
From Microsoft Research and Carnegie Mellon University
In one line
Computer-use agents often fail to purchase the user-optimal product when online marketplaces use steering mechanisms.
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 (3 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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