Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 27

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

LLMs Are Zero-Shot Context-Aware Simultaneous Translators — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese — 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods — 2024 · arXiv:2412.05579
LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data — 2024 · arXiv:2406.14498
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots — 2024 · arXiv:2403.08943
LOCR: Location-Guided Transformer for Optical Character Recognition — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
LaMP: When Large Language Models Meet Personalization — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Label Confidence Weighted Learning for Target-level Sentence Simplification — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings — 2024 · arXiv:2405.16820
LangBridge: Multilingual Reasoning Without Multilingual Supervision — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Language Bias in Multilingual Information Retrieval: The Nature of the Beast and Mitigation Methods — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
Language Models as Inductive Reasoners — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Language Models can Evaluate Themselves via Probability Discrepancy — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Language Resources in Spanish for Automatic Text Simplification across Domains — 2024 · arXiv:2409.20466
Language and computers (Language Science Press, Textbooks in Language Sciences, 2024) — 2024 · textbook
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Language models scale reliably with over-training and on downstream tasks — 2024 · arXiv:2403.08540
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Large Language Models are Inconsistent and Biased Evaluators — 2024 · arXiv:2405.01724
Large Language Models are not Fair Evaluators — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation — 2024 · arXiv:2407.08940
Large Language Models for Biomedical Text Simplification: Promising But Not There Yet — 2024 · arXiv:2408.03871
Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving — 2024 · arXiv:2408.09945
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Large Language Models: A Survey — 2024 · arXiv:2402.06196
Large-scale Summarization of Chat Transcripts in the Absence of Annotated Summaries — 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Learning Personalized Alignment for Evaluating Open-ended Text Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Learning from Wrong Predictions in Low-Resource Neural Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Learning-From-Mistakes Prompting for Indigenous Language Translation — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning — 2024 · arXiv:2412.15921
Lessons from the Trenches on Reproducible Evaluation of Language Models — 2024 · arXiv:2405.14782
Leveraging Context-Aware Prompting for Commit Message Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Leveraging Knowledge from Translation Memory for Globally and Locally Guiding Neural Machine Translation — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
Leveraging LLM Reasoning Enhances Personalized Recommender Systems — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Leveraging LLMs for Dialogue Quality Measurement — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)
Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Leveraging Large Language Models for Fact Verification in Italian — 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
LexAbSumm: Aspect-based Summarization of Legal Decisions — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
LexDrafter: Terminology Drafting for Legislative Documents Using Retrieval Augmented Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Likelihood-based Mitigation of Evaluation Bias in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LinChance-NTU for Unconstrained WMT2024 Literary Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning — 2024 · arXiv:2412.12499
Linguistically Informed Transformers for Text to American Sign Language Translation — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing — 2024 · arXiv:2406.02350
LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models — 2024 · arXiv:2403.13372
Local and Global Contexts for Conversation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
LongForm: Effective Instruction Tuning with Reverse Instructions — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
LooGLE: Can Long-Context Language Models Understand Long Contexts? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Look before You Leap: Dual Logical Verification for Knowledge-based Visual Question Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
MAGNET - MAchines GeNErating Translations: A CALAMITA Challenge — 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
MAIRA at RRG24: A specialised large multimodal model for radiology report generation — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
MCTS: A Multi-Reference Chinese Text Simplification Dataset — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
MDS: A Fine-Grained Dataset for Multi-Modal Dialogue Summarization — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
MEEL: Multi-Modal Event Evolution Learning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MELD-ST: An Emotion-aware Speech Translation Dataset — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MERA: A Comprehensive LLM Evaluation in Russian — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
METAL: Towards Multilingual Meta-Evaluation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation — 2024 · arXiv:2409.10294
MLBMIKABR at ``Discharge Me!'''': Concept Based Clinical Text Description Generation — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark — 2024 · arXiv:2402.04788
MLT-DR: Multi-Lingual/Task Demonstration Retrieval An Attempt towards Generalized Retriever for In-Context Learning — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding — 2024 · arXiv:2407.04903
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
MSLC24 Submissions to the General Machine Translation Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
MUSCLE: A Model Update Strategy for Compatible LLM Evolution — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024