# Yiding Ma: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/mayiding
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## Models

Model · Text classification

### [EventTwin](https://savrn.com/models/eventtwin)

[Yiding Ma](https://savrn.com/model-publishers/mayiding)

TL;DR (EN) — EventTwin judges whether two event descriptions refer to the same real-world event (cross-document event coreference / news deduplication) with temperature-calibrated probabilities. v2.3 keeps the Qwen3-Reranker-4B base and refines the recipe with sharpened labels + dual-teacher-consensus synthetic data: LLM-refined soft labels (v2.1) + four cross-granularity quadrants (v2.2) + 12k multi-register synthetic pairs (social-media / colloquial / wire / long-form, kept only when the generator's judgment agrees with a second judge's probability). Result: overall AUROC 0.985 + gray 0.982 (records), ECE 0.094, truth-based false-merge 2.8% (family's lowest) with coverage 95.4% / miss…

Open weights apache-2.0 4B parameters 40,960 tokens transformers

[View model](https://savrn.com/models/eventtwin)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-07.
- [Hugging Face profile](https://huggingface.co/MaYiding)
- [How the hub is built](https://savrn.com/model-hub/methodology)