Tanvir Ahmed Sijan
PulseAugur coverage of Tanvir Ahmed Sijan — every cluster mentioning Tanvir Ahmed Sijan across labs, papers, and developer communities, ranked by signal.
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LLMs show form-invariant arithmetic and benefit from human learning strategies · 2 sources tracked
Two new research papers explore the arithmetic capabilities of large language models (LLMs). The first paper analyzes Llama 3 models, finding that a shared set of neurons is responsible for arithmetic computation across…
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LLMs show greater robustness in noisy Bangla text event detection than encoder models
A new research paper evaluates the robustness of different AI model architectures for event detection in noisy Bangla text. The study found that while encoder-only models like BanglaBERT and XLM-R perform better on clea…
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BanglaSocialBench benchmark reveals LLMs struggle with cultural nuances in language
Researchers have introduced BanglaSocialBench, a new benchmark designed to assess how well large language models understand and use sociopragmatic and cultural nuances in the Bangla language. The benchmark focuses on co…