Ilseyar Alimova

Aspect-Based Sentiment Analysis (ABSA) focuses on extracting sentiment at a fine-grained aspect level and has been widely applied across real-world domains. However, existing ABSA research relies on coarse-grained categorical labels (e.g., positive, negative), which limits its ability to capture...

Frequent revisions of complex regulatory documents in large organizations often introduce inconsistencies and contradictions that are difficult for lawyers and auditors to detect manually. Existing tools rely on character-level diffs and therefore miss paraphrases and semantic shifts. We introduc...

Most languages lack labeled evaluation benchmarks for large language models (LLMs). Creating such benchmarks requires native speakers, domain expertise, and answer annotation—resources unavailable for the vast majority of languages. We investigate whether a model’s internal processing signals—suc...

Frequent revisions of complex, lengthy regulatory documents in large organizations often create inconsistencies and contradictions that lawyers and auditors find difficult to detect manually. Existing tools rely on character-level diffs that fail to capture paraphrases and semantic shifts. We pre...