paper-with-me

Translation

3개 벤치마크 · 논문 12,393편 · 이 태스크의 논문 보기 →

Benchmarks

MuLD (OpenSubtitles)

결과 2개

PhoMT

결과 2개

Most implemented

Attention Is All You Need

2017-06-12 · 구현 595개

Papers

A Translation of Probabilistic Event Calculus into Markov Decision Processes

2025-07-17 · Lyris Xu, Fabio Aurelio D'Asaro, Luke Dickens

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 …

Translation

Function-to-Style Guidance of LLMs for Code Translation

2025-07-15 · Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao 외

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 TranslationTranslation

Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation

2025-07-09 · Kazi Mahathir Rahman, Naveed Imtiaz Nafis, Md. Farhan Sadik, Mohammad Al Rafi 외

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 Embeddings

Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings

2025-07-09 · Russell Taylor, Benjamin Herbert, Michael Sana

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 2Translation

Unconditional Diffusion for Generative Sequential Recommendation

2025-07-08 · Yimeng Bai, Yang Zhang, Sihao Ding, Shaohui Ruan 외

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 RecommendationTranslation

GRAFT: A Graph-based Flow-aware Agentic Framework for Document-level Machine Translation

2025-07-04 · Himanshu Dutta, Sunny Manchanda, Prakhar Bapat, Meva Ram Gurjar 외

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+1

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