Shaping the Future of Endangered and Low-Resource Languages -- Our Role in the Age of LLMs: A Keynote at ECIR 2024
Fuente:
arXiv
Saved in:
| Main Author: | Mothe, Josiane |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dense Retrieval for Low Resource Languages -- the Case of Amharic Language
by: Yeshambel, Tilahun, et al.
Published: (2025)
by: Yeshambel, Tilahun, et al.
Published: (2025)
AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning
by: Yeshambel, Tilahun, et al.
Published: (2026)
by: Yeshambel, Tilahun, et al.
Published: (2026)
Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
by: Augenstein, Isabelle
Published: (2026)
by: Augenstein, Isabelle
Published: (2026)
Annotating Satellite Images of Forests with Keywords from a Specialized Corpus in the Context of Change Detection
by: Neptune, Nathalie, et al.
Published: (2025)
by: Neptune, Nathalie, et al.
Published: (2025)
ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
by: Tang, Jielong, et al.
Published: (2025)
by: Tang, Jielong, et al.
Published: (2025)
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages
by: Litschko, Robert, et al.
Published: (2024)
by: Litschko, Robert, et al.
Published: (2024)
Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation
by: Ehsan, Toqeer, et al.
Published: (2025)
by: Ehsan, Toqeer, et al.
Published: (2025)
Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages
by: Politov, Andrei, et al.
Published: (2025)
by: Politov, Andrei, et al.
Published: (2025)
Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
by: Navasardyan, Zaruhi, et al.
Published: (2026)
by: Navasardyan, Zaruhi, et al.
Published: (2026)
Improving Neural Retrieval with Attribution-Guided Query Rewriting
by: Garouani, Moncef, et al.
Published: (2026)
by: Garouani, Moncef, et al.
Published: (2026)
Selective Query Processing: a Risk-Sensitive Selection of System Configurations
by: Mothe, Josiane, et al.
Published: (2023)
by: Mothe, Josiane, et al.
Published: (2023)
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting
by: Fazry, Lhuqita
Published: (2025)
by: Fazry, Lhuqita
Published: (2025)
D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents
by: Boeglin, Michel, et al.
Published: (2025)
by: Boeglin, Michel, et al.
Published: (2025)
Harmonizing Metadata of Language Resources for Enhanced Querying and Accessibility
by: Liang, Zixuan
Published: (2025)
by: Liang, Zixuan
Published: (2025)
Evaluating the Performance of LLMs on Technical Language Processing tasks
by: Kernycky, Andrew, et al.
Published: (2024)
by: Kernycky, Andrew, et al.
Published: (2024)
Analyzing the Role of Context in Forecasting with Large Language Models
by: Mutschlechner, Gerrit, et al.
Published: (2025)
by: Mutschlechner, Gerrit, et al.
Published: (2025)
Text2Cypher Across Languages: Evaluating and Finetuning LLMs
by: Ozsoy, Makbule Gulcin, et al.
Published: (2025)
by: Ozsoy, Makbule Gulcin, et al.
Published: (2025)
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
by: Nako, Petraq, et al.
Published: (2025)
by: Nako, Petraq, et al.
Published: (2025)
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
by: Wang, Yuan, et al.
Published: (2024)
by: Wang, Yuan, et al.
Published: (2024)
PashtoCorp: A 1.25-Billion-Word Corpus, Evaluation Suite, and Reproducible Pipeline for Low-Resource Language Development
by: Rahman, Hanif
Published: (2026)
by: Rahman, Hanif
Published: (2026)
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
A Systematic Study of Pseudo-Relevance Feedback with LLMs
by: Jedidi, Nour, et al.
Published: (2026)
by: Jedidi, Nour, et al.
Published: (2026)
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks
by: Ghosal, Soumya Suvra, et al.
Published: (2024)
by: Ghosal, Soumya Suvra, et al.
Published: (2024)
Detecting Future-related Contexts of Entity Mentions
by: Prashar, Puneet, et al.
Published: (2025)
by: Prashar, Puneet, et al.
Published: (2025)
Text Clustering as Classification with LLMs
by: Huang, Chen, et al.
Published: (2024)
by: Huang, Chen, et al.
Published: (2024)
Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
by: Liu, Qijiong, et al.
Published: (2025)
by: Liu, Qijiong, et al.
Published: (2025)
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
by: Li, Haitao, et al.
Published: (2024)
by: Li, Haitao, et al.
Published: (2024)
Redefining Retrieval Evaluation in the Era of LLMs
by: Trappolini, Giovanni, et al.
Published: (2025)
by: Trappolini, Giovanni, et al.
Published: (2025)
LTRR: Learning To Rank Retrievers for LLMs
by: Kim, To Eun, et al.
Published: (2025)
by: Kim, To Eun, et al.
Published: (2025)
Privacy in LLM-based Recommendation: Recent Advances and Future Directions
by: Luo, Sichun, et al.
Published: (2024)
by: Luo, Sichun, et al.
Published: (2024)
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs
by: Prabhu, Venktesh V. Deepali, et al.
Published: (2024)
by: Prabhu, Venktesh V. Deepali, et al.
Published: (2024)
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
by: Cuconasu, Florin, et al.
Published: (2024)
by: Cuconasu, Florin, et al.
Published: (2024)
Evaluating Small Open LLMs for Medical Question Answering: A Practical Framework
by: Buskila, Avi-ad Avraam
Published: (2026)
by: Buskila, Avi-ad Avraam
Published: (2026)
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
by: Zeng, Shenglai, et al.
Published: (2025)
by: Zeng, Shenglai, et al.
Published: (2025)
Evaluating LLMs for Gender Disparities in Notable Persons
by: Rhue, Lauren, et al.
Published: (2024)
by: Rhue, Lauren, et al.
Published: (2024)
Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)
by: Liang, Yueqing, et al.
Published: (2024)
Beyond Catalogue Counts: the Dataset Visibility Asymmetry in Low-Resource Multilingual NLP
by: Tan, Zhiyin, et al.
Published: (2026)
by: Tan, Zhiyin, et al.
Published: (2026)
Generative Pseudo-Labeling for Pre-Ranking with LLMs
by: Bi, Junyu, et al.
Published: (2026)
by: Bi, Junyu, et al.
Published: (2026)
Predicting Movie Hits Before They Happen with LLMs
by: Agah, Shaghayegh, et al.
Published: (2025)
by: Agah, Shaghayegh, et al.
Published: (2025)
Roles of MLLMs in Visually Rich Document Retrieval for RAG: A Survey
by: Zhang, Xiantao
Published: (2025)
by: Zhang, Xiantao
Published: (2025)
Similar Items
-
Dense Retrieval for Low Resource Languages -- the Case of Amharic Language
by: Yeshambel, Tilahun, et al.
Published: (2025) -
AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning
by: Yeshambel, Tilahun, et al.
Published: (2026) -
Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
by: Augenstein, Isabelle
Published: (2026) -
Annotating Satellite Images of Forests with Keywords from a Specialized Corpus in the Context of Change Detection
by: Neptune, Nathalie, et al.
Published: (2025) -
ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER
by: Tang, Jielong, et al.
Published: (2025)