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
22Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2397377391
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Phong-Hao Le (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Human Ai Collab: 1 paper
- Innovation: 1 paper
Claim outcomes
- Decision Quality: 2 papers
- Ai Safety And Ethics: 1 paper
- Task Allocation: 1 paper
- Governance And Regulation: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| In simulated AI development races, LLMs with similar overall aggression hide divergent, model-specific strategies and failures of task tracking; careful audit checks show rule recall often coexists with incorrect state or payoff reasoning, warning against treating aggregate unsafe rates as evidence of human-like strategic understanding.arxiv | Phong-Hao Le provider id |
2026-08-02 | 0 |
| Large language models grow more cooperative as stakes rise, bucking evolutionary predictions; linguistic framing also shifts strategy mixes, implying payoff design and prompts are powerful levers for steering multi-agent AI behaviour.arxiv | Phong-Hao Le provider id |
2026-01-27 | 1 |
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.