Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 20

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

Argumentative Segmentation Enhancement for Legal Summarization — 2023 · arXiv:2307.05081
Arithmetic-Based Pretraining Improving Numeracy of Pretrained Language Models — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
Ask Language Model to Clean Your Noisy Translation Data — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Assessing Distractors in Multiple-Choice Tests — 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems
AudioPaLM: A Large Language Model That Can Speak and Listen — 2023 · arXiv:2306.12925
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Augmented Language Models: a Survey — 2023 · arXiv:2302.07842
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ — 2023 · arXiv:2310.00367 · The Twelfth International Conference on Learning Representations, 2024
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Automated distractor and feedback generation for math multiple-choice questions via in-context learning — 2023
Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios — 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Automatic Evaluation of Generative Models with Instruction Tuning — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
Automating Behavioral Testing in Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
BIG-C: a Multimodal Multi-Purpose Dataset for Bemba — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
BLESS: Benchmarking Large Language Models on Sentence Simplification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Back Translation for Speech-to-text Translation Without Transcripts — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models — 2023 · arXiv:2310.01074
Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation — 2023 · arXiv:2305.15011
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising — 2023 · arXiv:2312.14708
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Benchmarking Dialectal Arabic-Turkish Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
Benchmarking Foundation Models with Language-Model-as-an-Examiner — 2023 · arXiv:2306.04181
Benchmarking Machine Translation with Cultural Awareness — 2023 · arXiv:2305.14328
Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish — 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)
Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification — 2023 · arXiv:2311.01907
Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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)
CCIM: Cross-modal Cross-lingual Interactive Image Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CLAIR: Evaluating Image Captions with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
CLEVA: Chinese Language Models EVAluation Platform — 2023 · arXiv:2308.04813
CMU's IWSLT 2023 Simultaneous Speech Translation System — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
COMET-M: Reasoning about Multiple Events in Complex Sentences — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm — 2023 · Proceedings of the Eighth Conference on Machine Translation
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference ! — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Can Knowledge Graphs Simplify Text? — 2023 · arXiv:2308.06975
Can Language Models Employ the Socratic Method? Experiments with Code Debugging — 2023 · arXiv:2310.03210
Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Causal Document-Grounded Dialogue Pre-training — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Causes and Cures for Interference in Multilingual Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Challenges in Context-Aware Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate — 2023 · arXiv:2308.07201
ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages — 2023 · Proceedings of the Eighth Conference on Machine Translation
ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer — 2023 · arXiv:2306.07799
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback — 2023 · arXiv:2302.12813
Chinese Idiom Paraphrasing — 2023 · Transactions of the Association for Computational Linguistics
Choosing What to Mask: More Informed Masking for Multimodal Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Claim Optimization in Computational Argumentation — 2023 · Proceedings of the 16th International Natural Language Generation Conference
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation — 2023 · arXiv:2306.09968
CoMix: Guide Transformers to Code-Mix using POS structure and Phonetics — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Code-Switched Text Synthesis in Unseen Language Pairs — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X — 2023 · arXiv:2303.17568
CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising — 2023 · arXiv:2302.02780
Coherent Story Generation with Structured Knowledge — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Comparing Neural Question Generation Architectures for Reading Comprehension — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
Compressing Context to Enhance Inference Efficiency of Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Computational Language Acquisition with Theory of Mind — 2023 · arXiv:2303.01502
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Conditioning on Dialog Acts improves Empathy Style Transfer — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Considerations for meaningful sign language machine translation based on glosses — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Consistency Regularization Training for Compositional Generalization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Consistent Text Categorization using Data Augmentation in e-Commerce — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues — 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)
Constructing Pseudo-parallel Swedish Sentence Corpora for Automatic Text Simplification — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Context-Aware Document Simplification — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Continual Knowledge Distillation for Neural Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Controllability for English-Ukrainian Machine Translation Based on Specialized Corpora — 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation
Controllable Chest X-Ray Report Generation from Longitudinal Representations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking — 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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