A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
jev-dimabsa: TypeSafe Jev baseline for DimABSA
ZhangYiqun018/jev-dimabsa
VerifiedResearchDocumented
jev-dimabsa: TypeSafe Jev baseline for DimABSA (SemEval-2026 Task 3) subtask 1. Explore the Jev references, Python source code and similar projects.
Repository description: TypeSafe Jev baseline for DimABSA (SemEval-2026 Task 3) subtask 1: zero-shot and 3-shot valence-arousal regression
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/ZhangYiqun018/jev-dimabsa.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- Last code update
- 2026-09-24
- GitHub stars
- 7
- Evidence checked
- Sep 28, 2026
- Metadata checked
- Sep 28, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
export TYPESAFE_API_KEY=... # the client also reads ~/.zshrc
Evidence commit: f4ec8cab4d1e721062820929241b27c2c172d832
Discovered through: github-search.
How we review →Suggest a correction · Claim this listing · Submit a project