Cover Image

Translation in the Wild

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Balashov, Yuri
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations
by: Balashov, Yuri, et al.
Published: (2025)

Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows
by: Balashov, Yuri, et al.
Published: (2026)

Machine Translation in the Wild: User Reaction to Xiaohongshu's Built-In Translation Feature
by: He, Sui
Published: (2026)

Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
by: Zheng, Mao, et al.
Published: (2026)

HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild
by: Zhu, Zhiying, et al.
Published: (2024)

WildSpeech-Bench: Benchmarking End-to-End SpeechLLMs in the Wild
by: Zhang, Linhao, et al.
Published: (2025)

WildChat: 1M ChatGPT Interaction Logs in the Wild
by: Zhao, Wenting, et al.
Published: (2024)

WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
by: Wang, Pengyu, et al.
Published: (2026)

WildIFEval: Instruction Following in the Wild
by: Lior, Gili, et al.
Published: (2025)

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
by: Jiang, Liwei, et al.
Published: (2024)

Membership Inference on LLMs in the Wild
by: Yi, Jiatong, et al.
Published: (2026)

Benchmarking Table Comprehension In The Wild
by: Pan, Yikang, et al.
Published: (2024)

MMFormalizer: Multimodal Autoformalization in the Wild
by: Xiong, Jing, et al.
Published: (2026)

WildSci: Advancing Scientific Reasoning from In-the-Wild Literature
by: Liu, Tengxiao, et al.
Published: (2026)

Can LLMs Reason in the Wild with Programs?
by: Yang, Yuan, et al.
Published: (2024)

WildReward: Learning Reward Models from In-the-Wild Human Interactions
by: Peng, Hao, et al.
Published: (2026)

Reconstructing Animals and the Wild
by: Kulits, Peter, et al.
Published: (2024)

The Mirage of Model Editing: Revisiting Evaluation in the Wild
by: Yang, Wanli, et al.
Published: (2025)

GuessBench: Sensemaking Multimodal Creativity in the Wild
by: Zhu, Zifeng, et al.
Published: (2025)

Complex Claim Verification with Evidence Retrieved in the Wild
by: Chen, Jifan, et al.
Published: (2023)

MAGE: Machine-generated Text Detection in the Wild
by: Li, Yafu, et al.
Published: (2023)

Analyzing Dataset Annotation Quality Management in the Wild
by: Klie, Jan-Christoph, et al.
Published: (2023)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
by: Lin, Bill Yuchen, et al.
Published: (2024)

Prediction of Translation Techniques for the Translation Process
by: Zhou, Fan, et al.
Published: (2024)

Auxiliary Metrics Help Decoding Skill Neurons in the Wild
by: Zhao, Yixiu, et al.
Published: (2025)

Social Simulacra in the Wild: AI Agent Communities on Moltbook
by: Goyal, Agam, et al.
Published: (2026)

CRAFT: Extracting and Tuning Cultural Instructions from the Wild
by: Wang, Bin, et al.
Published: (2024)

Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization
by: Elgamal, Salman, et al.
Published: (2024)

NLP Security and Ethics, in the Wild
by: Lent, Heather, et al.
Published: (2025)

WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
by: Lu, Yujie, et al.
Published: (2024)

Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
by: Briakou, Eleftheria, et al.
Published: (2024)

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
by: Mundada, Gagan, et al.
Published: (2025)

HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
by: Urlana, Ashok, et al.
Published: (2025)

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
by: Shi, Taiwei, et al.
Published: (2024)

MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences
by: Wu, Eric, et al.
Published: (2026)

Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
by: Zhang, Lan, et al.
Published: (2025)

Evaluation Framework for AI Systems in "the Wild"
by: Jabbour, Sarah, et al.
Published: (2025)

To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages
by: Ebing, Benedikt, et al.
Published: (2023)

Translation Entropy: A Statistical Framework for Evaluating Translation Systems
by: Gross, Ronit D., et al.
Published: (2025)

Machine Translation Models are Zero-Shot Detectors of Translation Direction
by: Wastl, Michelle, et al.
Published: (2024)