SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval

Isidora Chara Tourni, Sayontan Ghosh, Brenda Miao, Constantijn van der Poel
10/28/2024
cs.CL

No confident code implementation found for this paper.

Abstract

This paper explores the problems of Question Answering (QA) and Named Entity Recognition (NER) in five diverse languages. We tested five Large Language Models with various prompting methods, including zero-shot, chain-of-thought reasoning, and translation techniques. Our results show that while some models consistently outperform others, their effectiveness varies significantly across tasks and languages. We saw that advanced prompting techniques generally improved QA performance but had mixed results for NER; and we observed that language difficulty patterns differed between tasks. Our findings highlight the need for task-specific approaches in multilingual NLP and suggest that current models may develop different linguistic competencies for different tasks.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task

87% match2025

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models

85% match2025

Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs

85% match2025

What Matters When Building Universal Multilingual Named Entity Recognition Models?

84% match2026

NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retention

84% match1 repo2024

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks

83% match2025

Cite this paper

@article{tourni2024sandboxaqs,
  title  = {SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval},
  author = {Isidora Chara Tourni and Sayontan Ghosh and Brenda Miao and Constantijn van der Poel},
  year   = {2024},
  eprint = {2410.21501},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.21501v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2410.21501.svg)](https://codeofpaper.com/paper/2410.21501)

Discussion