Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 39
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- KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation — 2023 · arXiv:2301.12699
- KG-IQES: An Interpretable Quality Estimation System for Machine Translation Based on Knowledge Graph — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
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- KT2: Kannada-Tulu Parallel Corpus Construction for Neural Machine Translation — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization — 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
- Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- KnowComp Submission for WMT23 Sign Language Translation Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
- KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization — 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
- Knowledge Graph Compression Enhances Diverse Commonsense Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation — 2023 · arXiv:2305.18846
- Knowledge-Grounded Natural Language Recommendation Explanation — 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
- Kurosawa: A Script Writer''s Assistant — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- L''évaluation de la traduction automatique du caractère au document : un état de l''art — 2023 · Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL)
- LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models — 2023 · arXiv:2305.13711
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- La détection de textes générés par des modèles de langue : une tâche complexe? Une étude sur des textes académiques — 2023 · Actes de CORIA-TALN 2023. Actes de l'atelier ``Analyse et Recherche de Textes Scientifiques'' (ARTS)@TALN 2023
- Language Model Based Target Token Importance Rescaling for Simultaneous Neural Machine Translation — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- Language Model Self-improvement by Reinforcement Learning Contemplation — 2023 · arXiv:2305.14483
- Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation — 2023 · arXiv:2301.02275
- Large Language Model Unlearning — 2023 · arXiv:2310.10683
- Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Large Language Models Meet NL2Code: A Survey — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization — 2023 · arXiv:2305.13091 · Findings of EMNLP 2023
- Large Language Models are few(1)-shot Table Reasoners — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Large Language Models for Automated Open-domain Scientific Hypotheses Discovery — 2023 · arXiv:2309.02726
- Large Language Models for Information Retrieval: A Survey — 2023 · arXiv:2308.07107
- Larth: Dataset and Machine Translation for Etruscan — 2023 · Proceedings of the Ancient Language Processing Workshop
- LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Learning Answer Generation using Supervision from Automatic Question Answering Evaluators — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning Disentangled Meaning and Style Representations for Positive Text Reframing — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- Learning Disentangled Representations for Natural Language Definitions — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones? — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Learning Nearest Neighbour Informed Latent Word Embeddings to Improve Zero-Shot Machine Translation — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- Learning Optimal Policy for Simultaneous Machine Translation via Binary Search — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning Retrieval Augmentation for Personalized Dialogue Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models — 2023 · arXiv:2302.03491
- Learning by Analogy: Diverse Questions Generation in Math Word Problem — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Learning from Mistakes: Towards Robust Neural Machine Translation for Disfluent L2 Sentences — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- Learning from Past Mistakes: Quality Estimation from Monolingual Corpora and Machine Translation Learning Stages — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
- Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Learning to Diversify Neural Text Generation via Degenerative Model — 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
- Learning to Generate Equitable Text in Dialogue from Biased Training Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning to Imagine: Visually-Augmented Natural Language Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Length Does Matter: Summary Length can Bias Summarization Metrics — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Length-Aware NMT and Adaptive Duration for Automatic Dubbing — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- Les textes cliniques français générés sont-ils dangereusement similaires à leur source ? Analyse par plongements de phrases — 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
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- Leveraging Low-resource Parallel Data for Text Style Transfer — 2023 · Proceedings of the 16th International Natural Language Generation Conference
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- Leveraging Prefix Transfer for Multi-Intent Text Revision — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Lexical Complexity Controlled Sentence Generation for Language Learning — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
- Lexical Translation Inconsistency-Aware Document-Level Translation Repair — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Local Interpretation of Transformer Based on Linear Decomposition — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Location-Aware Visual Question Generation with Lightweight Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Long to reign over us: A Case Study of Machine Translation and a New Monarch — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Long-form Simultaneous Speech Translation: Thesis Proposal — 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
- LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Lost in Translation No More: Fine-tuned transformer-based models for CodeMix to English Machine Translation — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- Low-Resource Text Style Transfer for Bangla: Data & Models — 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
- MAX-ISI System at WMT23 Discourse-Level Literary Translation Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
- MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods — 2023 · arXiv:2309.10966
- MEE4 and XLsim : IIIT HYD''s Submissions'' for WMT23 Metrics Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
- MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems — 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages — 2023 · arXiv:2310.09765
- MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- MITRA-zh: An efficient, open machine translation solution for Buddhist Chinese — 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages
- MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization — 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)
- MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer — 2023 · arXiv:2306.07994
- MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
- MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- MUNI-NLP Systems for Low-resource Indic Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
- MaNtLE: Model-agnostic Natural Language Explainer — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- MaTOS: Traduction automatique pour la science ouverte — 2023 · Actes de CORIA-TALN 2023. Actes de l'atelier ``Analyse et Recherche de Textes Scientifiques'' (ARTS)@TALN 2023
- Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB''s Effort for Bridging the Gap — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Machine Translation for Ge'ez Language — 2023 · arXiv:2311.14530
- Machine Translation for Low-resource Finno-Ugric Languages — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Machine Translation of literary texts: genres, times and systems — 2023 · Proceedings of the First Workshop on NLP Tools and Resources for Translation and Interpreting Applications
- Making Presentation Math Computable: A Context-Sensitive Approach for Translating LaTeX to Computer Algebra Systems — 2023 · monograph
- Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval — 2023 · arXiv:2312.15840 · Under review at Pattern Recognition Letters, 2025
- MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Measuring the Impact of Data Augmentation Methods for Extremely Low-Resource NMT — 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)
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