Large language models are increasingly evaluated in specialized domains such as law, medicine, software engineering, and cybersecurity, yet film remains comparatively underexplored despite requiring long-form narrative integration, multilingual interpretation, and culturally situated audience judgments. We introduce Ci...
Mir Tafseer Nayeem, Susmoy Chakraborty, Davood Rafiei· 0 citations
This first rigorous pipeline-wide study of structural bias across major phases of LLM development shows that contemporary LLMs privilege AmE as the de facto norm, raising concerns about linguistic homogenization, epistemic injustice, and inequity in global AI deployment, while providing a rigorous basis for targeted co...
Names are personal identifiers, but they also carry social meaning and are widely used to evaluate how language models treat different people, so it is shown that this assumption often fails at the lexical interface: matched names are not necessarily matched inputs.
Across five data wrangling tasks, fifteen datasets, and five open-weight and proprietary LLMs, EdgeLM consistently achieves the best or near-best performance in every setting, while ablations show that the two forms of edge evidence provide complementary benefits.
Soroush Omidvartehrani, Mohammadamin Habibollah, Mohammadreza Daviran et al.· 0 citations
SurveyAgent-HKA is introduced, a multi-agent framework that improves end-to-end scientific survey generation by incorporating knowledge derived from published surveys and peer-review comments and which outperforms mainstream baselines in citation quality, structural consistency, and content quality.
Tong Bao, Mir Tafseer Nayeem, Yi Zhao et al.· Knowledge-Based Systems· 0 citations
PARTAB (Partition-Aware Reasoning overTables), a framework that constructs a structured evidence interface between the LLM and the table, demonstrates the value of structured, partition aware evidence construction for scalable table reasoning.
PRISM, an agentic retrieval framework that leverages large language models in a structured loop to retrieve relevant evidence with high precision and recall, achieves higher retrieval accuracy while filtering out distracting content, enabling downstream QA models to surpass full-context answer accuracy while relying on...
Md Mahadi Hasan Nahid, Davood Rafiei· arXiv.org· 8 citations
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