Image de couverture de livre

Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Changbing, Nicolai, Garrett, Silfverberg, Miikka
Format:	Preprint
Publié:	2024
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

Embedded Translations for Low-resource Automated Glossing
par: Yang, Changbing, et autres
Publié: (2024)

Learning Beyond Limits: Multitask Learning and Synthetic Data for Low-Resource Canonical Morpheme Segmentation
par: Yang, Changbing, et autres
Publié: (2025)

Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
par: Yang, Linyao, et autres
Publié: (2024)

Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
par: Li, Chuang, et autres
Publié: (2024)

Wav2Gloss: Generating Interlinear Glossed Text from Speech
par: He, Taiqi, et autres
Publié: (2024)

Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
par: Pecher, Branislav, et autres
Publié: (2026)

Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement
par: Dong, Yichen, et autres
Publié: (2025)

Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time
par: Li, Jiazheng, et autres
Publié: (2025)

GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
par: Ginn, Michael, et autres
Publié: (2024)

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
par: Zhang, Yichi, et autres
Publié: (2024)

Massively Multilingual Joint Segmentation and Glossing
par: Ginn, Michael, et autres
Publié: (2026)

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
par: Zhang, Jiazheng, et autres
Publié: (2025)

LingGym: How Far Are LLMs from Thinking Like Field Linguists?
par: Yang, Changbing, et autres
Publié: (2025)

Byte Latent Transformer: Patches Scale Better Than Tokens
par: Pagnoni, Artidoro, et autres
Publié: (2024)

Checklists Are Better Than Reward Models For Aligning Language Models
par: Viswanathan, Vijay, et autres
Publié: (2025)

CWoMP: Morpheme Representation Learning for Interlinear Glossing
par: Alper, Morris, et autres
Publié: (2026)

One for All: Update Parameterized Knowledge Across Multiple Models
par: Ma, Weitao, et autres
Publié: (2025)

Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
par: Fayyazsanavi, Pooya, et autres
Publié: (2024)

Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback
par: Jiang, Dongwei, et autres
Publié: (2025)

Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge
par: Liu, Jiawei, et autres
Publié: (2023)

Large Language Models Can Better Understand Knowledge Graphs Than We Thought
par: Dai, Xinbang, et autres
Publié: (2024)

Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses
par: Kim, Sungnyun, et autres
Publié: (2025)

Selective Contrastive Learning For Gloss Free Sign Language Translation
par: Lai, Changhao, et autres
Publié: (2026)

The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
par: Zhu, Jian, et autres
Publié: (2023)

Pre-Trained Language Models Represent Some Geographic Populations Better Than Others
par: Dunn, Jonathan, et autres
Publié: (2024)

Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
par: Ma, Yong, et autres
Publié: (2024)

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs
par: Wang, Xudong, et autres
Publié: (2026)

Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation
par: Kim, Jungeun, et autres
Publié: (2024)

Confidence Should Be Calibrated More Than One Turn Deep
par: Zhang, Zhaohan, et autres
Publié: (2026)

Is Pre-training Truly Better Than Meta-Learning?
par: Miranda, Brando, et autres
Publié: (2023)

LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
par: Bai, Fan, et autres
Publié: (2025)

Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
par: Chen, Zhigang, et autres
Publié: (2024)

Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations
par: Liu, Zijie, et autres
Publié: (2025)

NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty
par: Zotos, Leonidas, et autres
Publié: (2025)

Gloss-Free Sign Language Translation: An Unbiased Evaluation of Progress in the Field
par: Sincan, Ozge Mercanoglu, et autres
Publié: (2026)

GLOS: Sign Language Generation with Temporally Aligned Gloss-Level Conditioning
par: Lee, Taeryung, et autres
Publié: (2025)

OpenGloss: A Synthetic Encyclopedic Dictionary and Semantic Knowledge Graph
par: Bommarito II, Michael J.
Publié: (2025)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
par: Zhang, Shuo, et autres
Publié: (2023)

Robust Generalization Strategies for Morpheme Glossing in an Endangered Language Documentation Context
par: Ginn, Michael, et autres
Publié: (2023)

Breaking the Silence: A Dataset and Benchmark for Bangla Text-to-Gloss Translation
par: Abdullah, Sharif Mohammad, et autres
Publié: (2025)