Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 23

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

Improving Question Generation with Multi-level Content Planning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Improving User Controlled Table-To-Text Generation Robustness — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
In-Image Neural Machine Translation with Segmented Pixel Sequence-to-Sequence Model — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
In-context Autoencoder for Context Compression in a Large Language Model — 2023 · arXiv:2307.06945
In-context Examples Selection for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Incorporating Task-Specific Concept Knowledge into Script Learning — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages — 2023 · arXiv:2305.16307
InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems — 2023 · Proceedings of the Second Workshop on Natural Language Interfaces
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback — 2023 · arXiv:2306.14898
Interactive Text Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction — 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)
Interpretable Math Word Problem Solution Generation via Step-by-step Planning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation — 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM — 2023 · arXiv:2303.01911
Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine — 2023 · arXiv:2301.08745
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation — 2023 · arXiv:2305.07375
Is ChatGPT a Good NLG Evaluator? A Preliminary Study — 2023 · arXiv:2303.04048
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation — 2023 · arXiv:2305.01210
It Ain''t Over: A Multi-aspect Diverse Math Word Problem Dataset — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
It''s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk — 2023 · Proceedings of the Big Picture Workshop
JHU IWSLT 2023 Dialect Speech Translation System Description — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models — 2023 · arXiv:2308.16149
JudgeLM: Fine-tuned Large Language Models are Scalable Judges — 2023 · arXiv:2310.17631
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena — 2023 · arXiv:2306.05685
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection — 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
KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
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
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
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
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 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 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 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)
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery — 2023 · Transactions of the Association for Computational Linguistics
Leveraging Low-resource Parallel Data for Text Style Transfer — 2023 · Proceedings of the 16th International Natural Language Generation Conference
Leveraging Multilingual Knowledge Graph to Boost Domain-specific Entity Translation of ChatGPT — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
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 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)
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
Low-Resource Text Style Transfer for Bangla: Data & Models — 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
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
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
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
MaNtLE: Model-agnostic Natural Language Explainer — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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)
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
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Medical Dialogue Generation via Dual Flow Modeling — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
MemeCap: A Dataset for Captioning and Interpreting Memes — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

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