Papers by Iqra Ali
HLU: Human Vs LLM Generated Text Detection Dataset for Urdu at Multiple Granularities (2025.coling-main)
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| Challenge: | Using large language models (LLMs) to generate human-like text has raised concerns about misuse, especially in low-resource languages like Urdu. |
| Approach: | They propose a dataset that contains documents, paragraphs, and sentences . they conducted human evaluations and automated evaluations . |
| Outcome: | The proposed dataset shows that distinguishing between human and machine-generated text is challenging for both humans and LLMs. |
VLURes: Benchmarking Long-Text Grounding and Cross-Lingual Robustness in Vision Language Models (2026.findings-acl)
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| Challenge: | ***VLURes** provides a practical testbed for long-text grounding and multilingual robustness in web-realistic agent settings. |
| Approach: | They propose a multilingual benchmark for evaluating vision-language models under long-text grounding. |
| Outcome: | ***VLURes** provides a testbed for long-text grounding and multilingual robustness in web-realistic agent settings. |
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News (2022.lrec-1)
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Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu
| Challenge: | Existing annotation guidelines for event causality focus on only explicit relations or clauses. |
| Approach: | They propose an annotation schema for event causality that addresses these concerns . they annotated 3,559 event sentences from protest event news with labels on whether it contains causal relations or not. |
| Outcome: | The proposed annotation schema for event causality addresses these concerns . it performs well with 81.20% F1 score on test set and 83.46% in 5-folds cross-validation . |
Monolingual Paraphrase Detection Corpus for Low Resource Pashto Language at Sentence Level (2024.lrec-main)
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| Challenge: | Existing research on sentence-level paraphrase detection in Pashto has focused on English, but no work has been done on low-resource Pashtone. |
| Approach: | They propose to annotate sentences in Pashto to detect paraphrases . they will publicize a subset of 1,800 instances from their corpus, free from licensing issues. |
| Outcome: | The proposed corpus contains 6,727 sentences, encompassing 3,687 paraphrased and 3,040 non-paraphrased sentences. |