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
24Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2275022100
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Siheng Chen (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Productivity: 2 papers
- Innovation: 1 paper
Claim outcomes
- Output Quality: 2 papers
- Organizational Efficiency: 1 paper
- Other: 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 |
|---|---|---|---|
| Autonomous LLM agents cut the need for laborious manual tuning in simulated robotics: across a 32-task benchmark they raise success rates by 26.5% over human-engineered policies and bring open-source models closer to proprietary performance.arxiv | Siheng Chen provider id |
2026-01-29 | 1 |
| A multi-agent, code-driven pipeline can automate high-quality educational video production and, the authors claim, reduce creation costs to roughly 0.3% of traditional methods while maintaining structural and visual standards. TeachMaster reframes educators as high-level directors and uses agent orchestration to produce editable, curriculum-ready videos at scale.arxiv | Siheng Chen provider id |
2025-12-07 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.