Align model card text with the corrected paper

Text only; no metric changed. New paper title and co-author name in the citation; QA scores described as development-split results; pretraining-data statement corrected; loss/perplexity pairing clarified.

README.md

@@ -38,7 +38,8 @@ Extractive QA: the answer is always a span copied from the supplied context.
 
 Fine-tuned independently under seeds 42–46 with one configuration (hash
 `ce27cc194946`) on an A100-PCIE-40GB. Reported as mean ± standard deviation over
-the five runs, on the dataset's **test** split.
+the five runs, on the dataset's **development** split (the fine-tuning script
+evaluates QA on the validation split when one exists).
 
 | Metric | Score |
 |---|---|
@@ -50,7 +51,7 @@ described above — **not** from interactive use.
 
 ### Interactive inference vs. benchmark
 
-**Benchmark evaluation** is the five-seed measurement on the held-out test split,
+**Benchmark evaluation** is the five-seed measurement on the held-out development split,
 shown in the table above.
 
 **Interactive inference** is what the usage example below performs: Supply an Amharic context and question; the model returns an extracted span.
@@ -121,8 +122,9 @@ print(tokenizer.decode(enc.input_ids[0][start:end + 1], skip_special_tokens=True
   languages, domains or label schemes is not characterised.
 - The base model covers Amharic and Tigrinya; other Ge'ez-script languages were
   not part of pretraining.
-- Corpora are drawn largely from religious and news domains, and the model may
-  reflect those distributions and any biases in them.
+- The pretraining text is of undocumented origin (licence unknown); samples contain religious
+  translations alongside general web prose, and the model may reflect those distributions
+  and any biases present in them.
 - Single-configuration study: no hyperparameter search was performed, and
   baseline comparisons in the paper are single-seed.
 
@@ -140,9 +142,9 @@ python3 evaluation/export_spm_results.py    # regenerates the metrics table
 
 ```bibtex
 @inproceedings{teklehaymanot2026vexmlm,
-  title     = {Expanding the Lexicon of Ge'ez Based African Languages:
-               A Comparative Study of Amharic and Tigrinya},
-  author    = {Teklehaymanot, Hailay Kidu and Yadeta, Gebregziabihier and
+  title     = {Vocabulary Expansion for Low-Resource African Languages:
+               A Case Study in Amharic and Tigrinya},
+  author    = {Teklehaymanot, Hailay Kidu and Yadeta, Debela Desalegn and
                Nejdl, Wolfgang},
   booktitle = {Proceedings of the Workshop on Language Models for
                Underserved Communities (LM4UC) at IJCAI},