Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs

Somnath Kumar; Vaibhav Balloli; Mercy Ranjit; Tanuja Ganu; Kabir Ahuja; Sunayna Sitaraman; Kalika Bali

Figure from “Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs”

Summary

A dynamic strategy that selects, per query at run-time, the optimal prompt, LLM, and embedding model to maximize multilingual QA performance, improving non-Latin and low-resource language coverage without any extra training.

How this fits together

Builds on Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

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Topics

Large Language Models

Cite this paper

@inproceedings{kumar2025leap,
  title     = {Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs},
  author    = {Kumar, Somnath and Balloli, Vaibhav and Ranjit, Mercy and Ganu, Tanuja and Ahuja, Kabir and Sitaraman, Sunayna and Bali, Kalika},
  booktitle = {Proceedings of the International Conference on Computational Linguistics (COLING)},
  year      = {2025},
  note      = {Oral}
}

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