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 →
2Distinct papers
42Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2376487210
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Lingyue Yin (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Human Ai Collab: 2 papers
- Innovation: 2 papers
- Productivity: 2 papers
- Org Design: 1 paper
Claim outcomes
- Output Quality: 2 papers
- Adoption Rate: 1 paper
- Organizational Efficiency: 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 two‑level 'harness evolution' framework promises to eliminate manual prompt, tool and orchestration engineering by auto‑evolving agent harnesses and the protocol that evolves them, enabling rapid adaptation of AI agents to new domain workflows.arxiv | Lingyue Yin provider id |
2026-04-22 | 2 |
| A specialized live benchmark shows state-of-the-art agentic LLMs handle open-domain search but lack the accuracy and domain grounding required for high-value vertical prediction tasks such as market forecasting, supply-chain demand, epidemic tracking and disaster monitoring; the gap raises caution for immediate industrial deployment.arxiv | Lingyue Yin provider id |
2026-01-18 | 7 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 9 cumulative citations. This is a coverage summary, not an author score or h-index.