28 million grounded products.
Shopping agents falter when user needs change across a conversation
A benchmark spanning 3.28 million products finds that explicit session control improves agents facing evolving constraints, ambiguous requests and multi-item purchases.
Top University
Xinwei Yang · Kelong Mao · Yudong Guo · Sulong Xu · Simiu Gu · Chen Huang · +1 more
JD.com · Sichuan University · Engineering Research Center of Machine Learning and Industry Intelligence · National University of Singapore
Research Digest··2 min read
Thread:Process Agent Benchmarks
Yang et al.
Why this paper
From National University of Singapore and 3 others · Part of Process Agent Benchmarks, now 9 papers
In one line
Conversational shopping agents struggle with state tracking, constraint updates, and grounded convergence; an executable framework with explicit state management and runtime guards outperforms baselines.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ✓Limitations stated by the authors
- ·No benchmark numbers found
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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