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

Extending First-Order Logic for Factual Reasoning over Knowledge Graphs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Mapping Out the NLP Evaluation Landscape with a Standard Taxonomy of Quality Criteria — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
ReproHum \#0124-03: Reproducing Human Scores on Neural REG Models — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
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)
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)
Towards TEE-Certified DP: Verifiable Differentially Private Training on Legacy GPUs — 2026 · arXiv:2609.20532
Analysing Reference Production of Large Language Models — 2025 · Proceedings of the 18th International Natural Language Generation Conference
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
DCU-ADAPT-modPB at the GEM''24 Data-to-Text Task: Analysis of Human Evaluation Results — 2025 · Proceedings of the 18th International Natural Language Generation Conference: Generation Challenges
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
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)
Fact Verification on Knowledge Graph via Programmatic Graph Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Fine-Tuning, Prompting and RAG for Knowledge Graph-to-Russian Text Generation. How do these Methods generalise to Out-of-Distribution Data? — 2025 · Proceedings of the 18th International Natural Language Generation Conference
Graph-Guided Textual Explanation Generation Framework — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Improving Factuality with Explicit Working Memory — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Incorporating Formulaicness in the Automatic Evaluation of Naturalness: A Case Study in Logic-to-Text Generation — 2025 · Proceedings of the 18th International Natural Language Generation Conference
Insight discovery in structured data — 2025 · Proceedings of the 1st Workshop for Young Researchers in Natural Language Generation
LoRMA: Low-Rank Multiplicative Adaptation for LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Multilingual Verbalisation of Knowledge Graphs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
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)
PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
PrAd: Prompt Adaptive Tuning for Decoder-only Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Scaling Up Data-to-Text Generation to Longer Sequences: A New Dataset and Benchmark Results for Generation from Large Triple Sets — 2025 · Proceedings of the 18th International Natural Language Generation Conference
Semantic Evaluation of Multilingual Data-to-Text Generation via NLI Fine-Tuning: Precision, Recall and F1 scores — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
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
StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Superpose Task-specific Features for Model Merging — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
The 2024 GEM Shared Task on Multilingual Data-to-Text Generation: English and Spanish Qualitative Evaluation Results — 2025 · Proceedings of the 18th International Natural Language Generation Conference: Generation Challenges
WebNLG-IT: Construction of an aligned RDF-Italian corpus through Machine Translation techniques — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
\textit D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
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)
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)
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)
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
Demonstration Selection Strategies for Numerical Time Series Data-to-Text — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
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)
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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)
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)
Exploring the impact of data representation on neural data-to-text generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
FIRE: A Dataset for Financial Relation Extraction — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups — 2024 · Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations
Fine-grained Hallucination Detection and Editing for Language Models — 2024 · arXiv:2401.06855
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Graph Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Intrinsic Task-based Evaluation for Referring Expression Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
LoRA Meets Dropout under a Unified Framework — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Pipeline Neural Data-to-text with Large Language Models — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Probing Omissions and Distortions in Transformer-based RDF-to-Text Models — 2024 · arXiv:2409.16707
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)
ReproHum \#1018-09: Reproducing Human Evaluations of Redundancy Errors in Data-To-Text Systems — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
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)
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
A Sequence-to-Sequence&Set Model for Text-to-Table Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
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)
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)
CURED4NLG: A Dataset for Table-to-Text Generation — 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge
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)
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions — 2023 · arXiv:2308.00425
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
Evaluating Generative Models for Graph-to-Text Generation — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
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)
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)
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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)
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)
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
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Is GPT-4 a Good Data Analyst? — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
Knowledge-Grounded Natural Language Recommendation Explanation — 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
LexExMachinaQA: A framework for the automatic induction ofontology lexica for Question Answering over Linked Data — 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
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
Phylogeny-Inspired Soft Prompts For Data-to-Text Generation in Low-Resource Languages — 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)
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)
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)
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
TaTA: A Multilingual Table-to-Text Dataset for African Languages — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
TabGenie: A Toolkit for Table-to-Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Text Fact Transfer — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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)
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
Unifying Large Language Models and Knowledge Graphs: A Roadmap — 2023 · arXiv:2306.08302 · IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024
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)
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)
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages — 2023 · Proceedings of the 16th International Natural Language Generation Conference
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022