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Translation

Papers

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Showing 2201–2225 of 12395 papers

TitleStatusHype
StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection—0
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—0
Evaluating the Effectiveness of Data Augmentation for Emotion Classification in Low-Resource Settings—0
Recovering document annotations for sentence-level bitext—0
Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation—0
LCS: A Language Converter Strategy for Zero-Shot Neural Machine TranslationCode0
What is the Best Way for ChatGPT to Translate Poetry?—0
Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images—0
Self-Modifying State Modeling for Simultaneous Machine TranslationCode0
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation—0
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation—0
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering—0
Deterministic Reversible Data Augmentation for Neural Machine TranslationCode0
SimulTron: On-Device Simultaneous Speech to Speech Translation—0
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine TranslationCode0
Imitating the Functionality of Image-to-Image Models Using a Single Example—0
A Closer Look at Logical Reasoning with LLMs: The Choice of Tool MattersCode0
Recent Advances in End-to-End Simultaneous Speech Translation—0
Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation—0
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM AbilitiesCode0
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual InstructionsCode0
How Multilingual Are Large Language Models Fine-Tuned for Translation?—0
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning—0
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective—0
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine TranslationCode0
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All datasetsMuLD (OpenSubtitles)PhoMTOxford Radar RobotCar Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5BLEU-134.07—Unverified
2LongformerBLEU-122.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ALMA-Gemma-7B-IT-STBLEU56.21—Unverified
2ALMA-Gemma-7B-ITBLEU52.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CFEAR-3-s50translation error [%]1.09—Unverified