Image de couverture de livre

Exploring In-context Example Generation for Machine Translation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Dohyun, Lee, Seungil Chad, Yang, Chanwoo, Baek, Yujin, Choo, Jaegul
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
par: Choi, Minseok, et autres
Publié: (2024)

Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
par: Lee, Dohyun, et autres
Publié: (2024)

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
par: Choi, Minseok, et autres
Publié: (2024)

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
par: Park, ChaeHun, et autres
Publié: (2024)

Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning
par: Gwak, Daehoon, et autres
Publié: (2026)

BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios
par: Lee, Yunseung, et autres
Publié: (2026)

Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
par: Park, ChaeHun, et autres
Publié: (2024)

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
par: Cho, Hojun, et autres
Publié: (2025)

Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
par: Park, ChaeHun, et autres
Publié: (2024)

SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
par: Tang, Chenming, et autres
Publié: (2024)

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
par: Choi, Minseok, et autres
Publié: (2024)

Going Beyond Word Matching: Syntax Improves In-context Example Selection for Machine Translation
par: Tang, Chenming, et autres
Publié: (2024)

The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators
par: Jeong, Hawon, et autres
Publié: (2024)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
par: Yang, Seungbin, et autres
Publié: (2024)

Crafting In-context Examples according to LMs' Parametric Knowledge
par: Lee, Yoonsang, et autres
Publié: (2023)

SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
par: Lee, Jimin, et autres
Publié: (2025)

Enhancing Document-Level Machine Translation via Filtered Synthetic Corpora and Two-Stage LLM Adaptation
par: Kim, Ireh, et autres
Publié: (2026)

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
par: Kim, Taehee, et autres
Publié: (2026)

Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning
par: Cui, Menglong, et autres
Publié: (2024)

Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
par: Park, ChaeHun, et autres
Publié: (2024)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
par: Park, Cheonbok, et autres
Publié: (2025)

Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
par: Yang, Soyoung, et autres
Publié: (2024)

Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
par: Jung, Kyudan, et autres
Publié: (2025)

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
par: Gwak, Daehoon, et autres
Publié: (2024)

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
par: Seo, Minju, et autres
Publié: (2025)

Language-Informed Beam Search Decoding for Multilingual Machine Translation
par: Yang, Yilin, et autres
Publié: (2024)

An Empirical Study of In-context Learning in LLMs for Machine Translation
par: Chitale, Pranjal A., et autres
Publié: (2024)

Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
par: Mekki, Abdellah El, et autres
Publié: (2024)

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models
par: Park, Junwoo, et autres
Publié: (2025)

LiveWeb-IE: A Benchmark For Online Web Information Extraction
par: Yang, Seungbin, et autres
Publié: (2026)

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models
par: Cho, Gyeongje, et autres
Publié: (2025)

Translation of Multifaceted Data without Re-Training of Machine Translation Systems
par: Moon, Hyeonseok, et autres
Publié: (2024)

GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text
par: Shim, Gyumin, et autres
Publié: (2025)

Measuring the Depth of LLM Unlearning via Activation Patching
par: Lee, Jaeung, et autres
Publié: (2026)

Crafting the Path: Robust Query Rewriting for Information Retrieval
par: Baek, Ingeol, et autres
Publié: (2024)

In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
par: Zebaze, Armel, et autres
Publié: (2024)

Enabling Region-Specific Control via Lassos in Point-Based Colorization
par: Lee, Sanghyeon, et autres
Publié: (2024)

Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects
par: Jo, Kyungmin, et autres
Publié: (2024)

Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison
par: Bouthors, Maxime, et autres
Publié: (2024)

Anti-LM Decoding for Zero-shot In-context Machine Translation
par: Sia, Suzanna, et autres
Publié: (2023)