Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 37

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Evaluating a Multilingual Pre-trained Model for the Automatic Standard German captioning of Swiss German TV — 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Evaluating and Improving the Coreference Capabilities of Machine Translation Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Evaluating pragmatic abilities of image captioners on A3DS — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Evaluating the Efficacy of Length-Controllable Machine Translation — 2023 · arXiv:2305.02300
Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation — 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Evaluation of Question Generation Needs More References — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Event-Centric Query Expansion in Web Search — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
Execution-Based Evaluation for Open-Domain Code Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Execution-based Code Generation using Deep Reinforcement Learning — 2023 · arXiv:2301.13816 · Transactions on Machine Learning Research (TMLR), 2023
Explanation Regeneration via Information Bottleneck — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Explicit Syntactic Guidance for Neural Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation — 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: Student Research Workshop
Exploring Automatic Text Simplification of German Narrative Documents — 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
Exploring Better Text Image Translation with Multimodal Codebook — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Exploring Context-Aware Evaluation Metrics for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Exploring Continual Learning for Code Generation Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Exploring Data Augmentation for Code Generation Tasks — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Exploring Distributional Shifts in Large Language Models for Code Analysis — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Exploring In-Context Learning for Knowledge Grounded Dialog Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Exploring Low-resource Neural Machine Translation for Sinhala-Tamil Language Pair — 2023 · Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing
Exploring Multilingual Pretrained Machine Translation Models for Interactive Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
Exploring Paracrawl for Document-level Neural Machine Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Exploring Variation of Results from Different Experimental Conditions — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Exploring the Capabilities of ChatGPT for Lexicographical Purposes: A Comparison with Oxford Advanced Learner''s Dictionary within the Microstructural Framework — 2023 · eLex 2023 (Brno), pp. 345–375
Exploring the Impact of Vision Features in News Image Captioning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Exploring the State of the Art in Legal QA Systems — 2023 · arXiv:2304.06623 · J Big Data 10, 127 (2023)
Expository Text Generation: Imitate, Retrieve, Paraphrase — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Extrapolating Large Language Models to Non-English by Aligning Languages — 2023 · arXiv:2308.04948
Extrapolating Multilingual Understanding Models as Multilingual Generators — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
FFAEval: Evaluating Dialogue System via Free-For-All Ranking — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation — 2023 · Transactions of the Association for Computational Linguistics
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Factual or Contextual? Disentangling Error Types in Entity Description Generation — 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)
Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Feedback comment generation using predicted grammatical terms — 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
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)
Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Filtering Matters: Experiments in Filtering Training Sets for Machine Translation — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
FinBART: A Pre-trained Seq2seq Language Model for Chinese Financial Tasks — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
Finding the Pillars of Strength for Multi-Head Attention — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Findings from the Bambara - French Machine Translation Competition (BFMT 2023) — 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet — 2023 · Proceedings of the Eighth Conference on Machine Translation
Findings of the VarDial Evaluation Campaign 2023 — 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)
Findings of the WMT 2023 Shared Task on Automatic Post-Editing — 2023 · Proceedings of the Eighth Conference on Machine Translation
Findings of the WMT 2023 Shared Task on Parallel Data Curation — 2023 · Proceedings of the Eighth Conference on Machine Translation
Fine-Tuning and Evaluation of Question Generation for Slovak Language — 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Fine-tuning and aligning question answering models for complex information extraction tasks — 2023 · arXiv:2309.14805
Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
Fluency Matters! Controllable Style Transfer with Syntax Guidance — 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
Focus-aware Response Generation in Inquiry Conversation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Follow-on Question Suggestion via Voice Hints for Voice Assistants — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
FollowupQG: Towards information-seeking follow-up question generation — 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)
Formalizing content creation and evaluation methods for AI-generated social media content — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery — 2023 · arXiv:2309.05203
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
GAP-Gen: Guided Automatic Python Code Generation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
GATE: A Challenge Set for Gender-Ambiguous Translation Examples — 2023 · arXiv:2303.03975
GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4 — 2023 · Proceedings of the Eighth Conference on Machine Translation
GPTScore: Evaluate as You Desire — 2023 · arXiv:2302.04166
GTCOM and DLUT's Neural Machine Translation Systems for WMT23 — 2023 · Proceedings of the Eighth Conference on Machine Translation
GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
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)
Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Gender Biases in Automatic Evaluation Metrics for Image Captioning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges — 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Generating Faithful Text From a Knowledge Graph with Noisy Reference Text — 2023 · Proceedings of the 16th International Natural Language Generation Conference
Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models — 2023 · arXiv:2302.04662
Generating Irish Text with a Flexible Plug-and-Play Architecture — 2023 · Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning
Generating clickbait spoilers with an ensemble of large language models — 2023 · Proceedings of the 16th International Natural Language Generation Conference
Generative Judge for Evaluating Alignment — 2023 · arXiv:2310.05470
Generative Knowledge Selection for Knowledge-Grounded Dialogues — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Gloss-Free End-to-End Sign Language Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems — 2023 · arXiv:2306.05882 · Hermes Journal of Language and Communication in Business no 63 2023
Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Grammatical Error Correction through Round-Trip Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation — 2023 · Proceedings of the 16th International Natural Language Generation Conference
Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)