Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
5Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2458160223
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Chenhui Xu (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Output Quality: 1 paper
- Ai Safety And Ethics: 1 paper
- Training Effectiveness: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Task Allocation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| A production conversational ad agent that co-evolves its decision-maker and retrieval tools raised revenue per thousand impressions by 22% and expanded ads coverage by 74% in a live A/B test, while substantially improving offline relevance and slate diversity.arxiv | Chenhui Xu provider id |
2026-08-13 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.