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Who cites «The WebNLG Challenge: Generating Text from RDF Data»

237 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  2. The Shared Task on Reproducibility of Evaluations in NLP (ReproNLP) 2026: Overview and Results — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
  3. Thesis Proposal: Intentional Inference for Insight Generation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  4. Evaluating and Improving Graph to Text Generation with Large Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  5. Improving Factuality with Explicit Working Memory — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. On Reducing Factual Hallucinations in Graph-to-Text Generation Using Large Language Models — 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)
  7. PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  8. Standard Quality Criteria Derived from Current NLP Evaluations for Guiding Evaluation Design and Grounding Comparability and AI Compliance Assessments — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  9. StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  10. WebNLG-IT: Construction of an aligned RDF-Italian corpus through Machine Translation techniques — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  11. AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  12. Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  14. DCU-ADAPT-modPB at the GEM''24 Data-to-Text Generation Task: Model Hybridisation for Pipeline Data-to-Text Natural Language Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges
  15. Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  16. Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  17. Exploring Data Augmentation in Neural DRS-to-Text Generation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  19. FIRE: A Dataset for Financial Relation Extraction — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  20. Fine-grained Hallucination Detection and Editing for Language Models — 2024 · arXiv:2401.06855
  21. Graph Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Large Language Models for Scientific Information Extraction: An Empirical Study for Virology — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  23. LoRA Meets Dropout under a Unified Framework — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  24. PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  25. Probing Omissions and Distortions in Transformer-based RDF-to-Text Models — 2024 · arXiv:2409.16707
  26. Prompting for Numerical Sequences: A Case Study on Market Comment Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  27. SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  29. Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  30. A Sequence-to-Sequence&Set Model for Text-to-Table Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  31. Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023) — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
  32. CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  33. DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions — 2023 · arXiv:2308.00425
  35. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  36. Evaluating Generative Models for Graph-to-Text Generation — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
  37. FactKG: Fact Verification via Reasoning on Knowledge Graphs — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. Faithful Low-Resource Data-to-Text Generation through Cycle Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  40. Generating and Answering Simple and Complex Questions from Text and from Knowledge Graphs — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  42. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  43. Is GPT-4 a Good Data Analyst? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  44. MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  45. Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  46. Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  49. TaTA: A Multilingual Table-to-Text Dataset for African Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  50. The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023) — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
  51. The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  52. Unifying Large Language Models and Knowledge Graphs: A Roadmap — 2023 · arXiv:2306.08302 · IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024
  53. Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
  55. AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  56. AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  57. Block Diagram-to-Text: Understanding Block Diagram Images by Generating Natural Language Descriptors — 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
  58. Control Prefixes for Parameter-Efficient Text Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  59. Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
  60. DeepStruct: Pretraining of Language Models for Structure Prediction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  61. Fine-Grained Controllable Text Generation Using Non-Residual Prompting — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  62. FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  64. GEMv2: Multilingual NLG Benchmarking in a Single Line of Code — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  65. Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  66. Generating Questions from Wikidata Triples — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  67. Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  68. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
  69. MReD: A Meta-Review Dataset for Structure-Controllable Text Generation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  70. Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation — 2022 · Transactions of the Association for Computational Linguistics
  71. Multi-task Active Learning for Pre-trained Transformer-based Models — 2022 · Transactions of the Association for Computational Linguistics
  72. Neural Pipeline for Zero-Shot Data-to-Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  73. Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  74. Open Domain Question Answering with A Unified Knowledge Interface — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  75. OpenPrompt: An Open-source Framework for Prompt-learning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  76. Pre-training to Match for Unified Low-shot Relation Extraction — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  77. Product Answer Generation from Heterogeneous Sources: A New Benchmark and Best Practices — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
  78. R2D2: Robust Data-to-Text with Replacement Detection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  79. Self-supervised Graph Masking Pre-training for Graph-to-Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  80. Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  81. Text-to-Text Extraction and Verbalization of Biomedical Event Graphs — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  82. What Makes Data-to-Text Generation Hard for Pretrained Language Models? — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  83. A Survey of Data Augmentation Approaches for NLP — 2021 · arXiv:2105.03075
  84. AggGen: Ordering and Aggregating while Generating — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  85. Biomedical Data-to-Text Generation via Fine-Tuning Transformers — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  86. Building Adaptive Acceptability Classifiers for Neural NLG — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  87. DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  88. Evaluating Text Generation from Discourse Representation Structures — our card · 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  89. Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  90. Finetuned Language Models Are Zero-Shot Learners — 2021 · arXiv:2109.01652
  91. Focused Attention Improves Document-Grounded Generation — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  92. Investigating Pretrained Language Models for Graph-to-Text Generation — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
  93. JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  94. LoRA: Low-Rank Adaptation of Large Language Models — 2021 · arXiv:2106.09685
  95. Logic-Consistency Text Generation from Semantic Parses — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  96. Mention Flags (MF): Constraining Transformer-based Text Generators — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  97. Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs — 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)
  98. Neural Data-to-Text Generation with LM-based Text Augmentation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  99. Plan-then-Generate: Controlled Data-to-Text Generation via Planning — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  100. Prefix-Tuning: Optimizing Continuous Prompts for Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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