Who cites «Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach»
13 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Draft, Verify, Restore: Self-Refining Historical Inscription Restoration with a Unified MLLM — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- BIRD: Bronze Inscription Restoration and Dating — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs — our card · 2025 · Proceedings of the Second Workshop on Ancient Language Processing
- Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Reconstruction of Cuneiform Literary Texts as Text Matching — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Restoring Mycenaean Linear B `A&B' series tablets using supervised and transfer learning — 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
- Machine Learning for Ancient Languages: A Survey — 2023 · Computational Linguistics
- Simple and Effective Multi-Token Completion from Masked Language Models — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model — 2022 · Proceedings of the 29th International Conference on Computational Linguistics