mlsanityData to 7 Oct 2026

BIRD: Bronze Inscription Restoration and Dating

arXiv 2511.01589 ↗First posted 3 Nov 2025cs.CLcited by 2

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Abstract (arXiv)

Bronze inscriptions from early China are fragmentary and difficult to date. We introduce BIRD(Bronze Inscription Restoration and Dating), a fully encoded dataset grounded in standard scholarly transcriptions and chronological labels. We further propose an allograph-aware masked language modeling framework that integrates domain- and task-adaptive pretraining with a Glyph Net (GN), which links graphemes and allographs. Experiments show that GN improves restoration, while glyph-biased sampling yields gains in dating.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 14 of its 54 references that are in the map. First posted on arXiv 3 Nov 2025.

Builds on

14 of 54 references.

References · 14

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  7. 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,024
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  9. 2020Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detectioncited by 17
  10. 2023Enhancing Cross-lingual Transfer via Phonemic Transcription Integrationcited by 11
  11. 2021Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approachcited by 8
  12. 2024Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languagescited by 6
2 more
  1. 2023Weighted Sampling for Masked Language Modelingcited by 2
  2. 2025Logits-Constrained Framework with RoBERTa for Ancient Chinese NERcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characterscited by 5
  2. 2026Towards Computational Chinese Paleographycited by 0