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Tengfei Shao

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#large language models Open access Oct 2026

Do direct LLM forecasts of negotiation outcomes improve on a fitted reference? A preregistered evaluation on Deal or No Deal and CaSiNo

Three fixed open-weight large language model (LLM) configurations each forecast how a recorded two-person negotiation ended, given only what the two persons brought to it (the items, both persons' private values or priorities and, in CaSiNo, the reasons they wrote beforehand) and nothing from the negotiation itself. Th...

Tengfei Shao · 0 citations
#artificial intelligence Open access Oct 2026

Method core for "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education"

Data-free method core of the article "Response-length confounding in participant–morpheme networks: A length-controlled test in AI ethics education" (Computers and Education: Artificial Intelligence, 2026, 100685). The archive contains the closed-form counter of the six bipartite subgraph configurations and the shared-...

Tengfei Shao, Xu Wang, Shenglei Li et al. · 0 citations
#generative ai Open access Sep 2026

Analysis code, results and derived data for: How much of a generative-AI prevalence estimate is the word list? Seven word lists compared on Japanese society journals and on PubMed

Code, result files, derived integer-count tables and figures for a comparison of seven word lists used to estimate generative-AI-assisted writing, applied under identical rules to the English abstracts of 25 Japanese society journals and to PubMed (a random sample of 20,000 abstracts per year, 2010-2025, and the PubMed...

Tengfei Shao · 0 citations
#generative ai Open access Sep 2026

Analysis code, results and derived data for: How much of a generative-AI prevalence estimate is the word list? Seven word lists compared on Japanese society journals and on PubMed

Code, result files, derived integer-count tables and figures for a comparison of seven word lists used to estimate generative-AI-assisted writing, applied under identical rules to the English abstracts of 25 Japanese society journals and to PubMed (a random sample of 20,000 abstracts per year, 2010-2025, and the PubMed...

Tengfei Shao · 0 citations
#explainable ai Open access Sep 2026

Reproducibility package for: Auditing bipartite motif interpretations (analysis scripts, cached ensembles, figure code)

This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...

Tengfei Shao · 0 citations
#explainable ai Open access Sep 2026

Reproducibility package for: Auditing bipartite motif interpretations (analysis scripts, cached ensembles, figure code)

This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...

Tengfei Shao · 0 citations
#explainable ai Open access Sep 2026

Reproducibility package for: Auditing bipartite motif interpretations (analysis scripts, cached ensembles, figure code)

This package reproduces the analyses, cached null ensembles and figures of "Auditing bipartite motif interpretations: a worked example with conservation checks and open-path decomposition" (Tengfei Shao, submitted to PeerJ Computer Science, 2026). It contains the typed bipartite motif counting operator and three indepe...

Tengfei Shao · 0 citations

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