State-of-the-Art approaches for German language chat-bot development
Bibliographic record
Abstract
Chat-Bots sind eines der meistbeachteten Themen der letzten Jahre. Der Hauptfokus der wissenschaftlichen Publikationen, sowie der existierenden Implementationen liegt jedoch auf Chat-Bots in Englischer Sprache. Es ist daher nicht klar, ob die beschriebenen und verwendeten Methoden sowie Werkzeuge auch in anderen Sprachen in der gleichen Art und Weise eingesetzt werden können. Diese Arbeit setzt sich zum Ziel, den aktuellen Stand der Technik im Bereich der Chat-Bot Entwicklung darzulegen, und die Anwendbarkeit der meistverbreiteten und aktuell angewendeten Methoden und Werkzeuge in Deutscher Sprache anhand einer Fallstudie zu evaluieren.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".