Papers Translation
“Translation” 태그가 달린 논문 12,393편 · 필터 해제
A Translation of Probabilistic Event Calculus into Markov Decision Processes
Probabilistic Event Calculus (PEC) is a logical framework for reasoning about actions and their effects in uncertain environments, which enables the representation of probabilistic narratives and computation of temporal …
TranslationFunction-to-Style Guidance of LLMs for Code Translation
Large language models (LLMs) have made significant strides in code translation tasks. However, ensuring both the correctness and readability of translated code remains a challenge, limiting their effective adoption in re…
Code TranslationTranslationSpeak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation
Helping deaf and hard-of-hearing people communicate more easily is the main goal of Automatic Sign Language Translation. Although most past research has focused on turning sign language into text, doing the reverse, turn…
Machine TranslationSign Language TranslationTranslationWord EmbeddingsPun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings
Translating wordplay across languages presents unique challenges that have long confounded both professional human translators and machine translation systems. This research proposes a novel approach for translating puns…
Contrastive LearningMachine TranslationTask 2TranslationUnconditional Diffusion for Generative Sequential Recommendation
Diffusion models, known for their generative ability to simulate data creation through noise-adding and denoising processes, have emerged as a promising approach for building generative recommenders. To incorporate user …
DenoisingSequential RecommendationTranslationGRAFT: A Graph-based Flow-aware Agentic Framework for Document-level Machine Translation
Document level Machine Translation (DocMT) approaches often struggle with effectively capturing discourse level phenomena. Existing approaches rely on heuristic rules to segment documents into discourse units, which rare…
Document Level Machine TranslationDocument TranslationLarge Language ModelMachine Translation+1TransLaw: Benchmarking Large Language Models in Multi-Agent Simulation of the Collaborative Translation
Multi-agent systems empowered by large language models (LLMs) have demonstrated remarkable capabilities in a wide range of downstream applications, including machine translation. However, the potential of LLMs in transla…
BenchmarkingMachine TranslationTranslationCycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation
The current conditional autoregressive image generation methods have shown promising results, yet their potential remains largely unexplored in the practical unsupervised image translation domain, which operates without …
Image GenerationImage-to-Image TranslationQuantizationTranslationIntrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation
In this paper, we compare Czech-specific and multilingual sentence embedding models through intrinsic and extrinsic evaluation paradigms. For intrinsic evaluation, we employ Costra, a complex sentence transformation data…
Machine TranslationSemantic SimilaritySemantic Textual SimilaritySentence+5CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
Large language models (LLMs), despite their ability to perform few-shot machine translation (MT), often lag behind dedicated MT systems trained on parallel corpora, which are crucial for high quality machine translation …
Machine TranslationTranslationEnhancing Image Restoration Transformer via Adaptive Translation Equivariance
Translation equivariance is a fundamental inductive bias in image restoration, ensuring that translated inputs produce translated outputs. Attention mechanisms in modern restoration transformers undermine this property, …
Image RestorationInductive BiasTranslationDo You Know What I Mean? A Syntactic Representation for Differential Bounded Awareness
Without the assumption of complete, shared awareness, it is necessary to consider communication between agents who may entertain different representations of the world. A syntactic (language-based) approach provides powe…
TranslationUnsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
The training of real-world super-resolution reconstruction models heavily relies on datasets that reflect real-world degradation patterns. Extracting and modeling degradation patterns for super-resolution reconstruction …
Image Super-ResolutionSuper-ResolutionTranslationSequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
Past work has long recognized the important role of context in guiding how humans search their memory. While context-based memory models can explain many memory phenomena, it remains unclear why humans develop such archi…
Machine TranslationTranslationEnd-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data
The scarcity of high-quality annotated data presents a significant challenge in developing effective end-to-end speech-to-text translation (ST) systems, particularly for low-resource languages. This paper explores the hy…
SentenceSpeech-to-TextSpeech-to-Text TranslationTranslationGuaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees
The hardware ecosystem is rapidly evolving, with increasing interest in translating low-level programs across different instruction set architectures (ISAs) in a quick, flexible, and correct way to enhance the portabilit…
Code TranslationHumanEvalLanguage ModelingLanguage Modelling+2MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment
Literary translation requires preserving cultural nuances and stylistic elements, which traditional metrics like BLEU and METEOR fail to assess due to their focus on lexical overlap. This oversight neglects the narrative…
TranslationScheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs
Speech-to-speech translation (S2ST) has been advanced with large language models (LLMs), which are fine-tuned on discrete speech units. In such approaches, modality adaptation from text to speech has been an issue. LLMs …
Speech-to-Speech Translationtext-to-speechText to SpeechTranslationMetricHMR: Metric Human Mesh Recovery from Monocular Images
We introduce MetricHMR (Metric Human Mesh Recovery), an approach for metric human mesh recovery with accurate global translation from monocular images. In contrast to existing HMR methods that suffer from severe scale an…
Human Mesh RecoveryTranslationGender Bias in English-to-Greek Machine Translation
As the demand for inclusive language increases, concern has grown over the susceptibility of machine translation (MT) systems to reinforce gender stereotypes. This study investigates gender bias in two commercial MT syst…
Machine TranslationTranslation