Papers by Abhishek Singhania
LoFTI: Localization and Factuality Transfer to Indian Locales (2025.findings-acl)
Copied to clipboard
| Challenge: | Large language models encode vast amounts of world knowledge acquired via training on large web-scale datasets crawled from the internet. |
| Approach: | They propose a benchmark that evaluates an LLM's contextual localization and factual text transfer capabilities by comparing it with a mixtral, Llama3.3-70B and GPT-4 model. |
| Outcome: | The proposed benchmark evaluates Mixtral, Llama3.3-70B, GPT-4 and two other Mixtral-based approaches. |