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
48Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2327563557
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Mengdi Wang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Productivity: 2 papers
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Output Quality: 2 papers
- Adoption Rate: 1 paper
- Error Rate: 1 paper
- Organizational Efficiency: 1 paper
- Decision Quality: 1 paper
- Other: 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 |
|---|---|---|---|
| Distilling prior runs into reusable 'skills' stabilises LLM agent execution—reducing setup, format and verification errors—because skills act as procedural anchors rather than mere fact injections; however, as skill libraries grow or contexts change, retrieval failures and contextual mismatch remain the main bottlenecks.arxiv | Mengdi Wang provider id |
2026-08-14 | 0 |
| 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 | Mengdi Wang 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 7 cumulative citations. This is a coverage summary, not an author score or h-index.