Papers by Syeda Sabrina Akter

2 papers
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead? (2024.emnlp-main)

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Challenge: Large language models have shown capabilities close to human performance in various analytical tasks.
Approach: They investigate the efficiency and accuracy of Large Language Models in specialized tasks . they integrate LLMs with expert annotators to observe the impact of LLM suggestions .
Outcome: The proposed model improves task completion speed but introduces anchoring bias . the proposed model is not suitable for open-ended analysis, but is capable of handling specialized tasks.
A Study on Scaling Up Multilingual News Framing Analysis (2024.findings-naacl)

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Challenge: Existing studies on media framing have focused on English only data, leaving a gap in research concerning multilingual contexts.
Approach: They propose to use crowd-sourced datasets to automate framing analysis by automating translation and annotation.
Outcome: The proposed system improves on existing models in Bengali and Portuguese . the proposed system can train on a crowd-sourced dataset in 12 languages .

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