A5032865248- Healthcare Systems and Practices
- Social Sciences and Governance
- Topic Modeling
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Multimodal Machine Learning Applications
- Technology, Environment, Urban Planning
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Digital Games and Media
- Explainable Artificial Intelligence (XAI)
- Misinformation and Its Impacts
- Text Readability and Simplification
- Speech and dialogue systems
Sharif University of Technology
2023-2024
We present the Touch\'e23-ValueEval Dataset for Identifying Human Values behind Arguments. To investigate approaches automated detection of human values arguments, we collected 9324 arguments from 6 diverse sources, covering religious texts, political discussions, free-text newspaper editorials, and online democracy platforms. Each argument was annotated by 3 crowdworkers 54 values. The dataset extends Webis-ArgValues-22. In comparison to previous dataset, effectiveness a 1-Baseline...
Large Language Models (LLMs) struggle with hallucinations and outdated knowledge due to their reliance on static training data. Retrieval-Augmented Generation (RAG) mitigates these issues by integrating external dynamic information enhancing factual updated grounding. Recent advances in multimodal learning have led the development of Multimodal RAG, incorporating multiple modalities such as text, images, audio, video enhance generated outputs. However, cross-modal alignment reasoning...
Evaluating Large Language Models (LLMs) is challenging due to their generative nature, necessitating precise evaluation methodologies. Additionally, non-English LLM lags behind English, resulting in the absence or weakness of LLMs for many languages. In response this necessity, we introduce Khayyam Challenge (also known as PersianMMLU), a meticulously curated collection comprising 20,192 four-choice questions sourced from 38 diverse tasks extracted Persian examinations, spanning wide...
Visual Word Sense Disambiguation (V-WSD) identifies the correct visual sense of a multi-sense word in specific context. This can be challenging as images may need to provide additional context and words have multiple senses. A proper V-WSD system benefit applications like image retrieval captioning. paper proposes Prompt Generation approach solve this challenge. improves robustness language-image models CLIP contextual ambiguities helps them better correlate between textual contexts...
Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, Ehsaneddin Asgari. Proceedings of the 13th International Joint Conference on Natural Language Processing and 3rd Asia-Pacific Chapter Association for Computational Linguistics (Volume 2: Short Papers). 2023.
Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Hossein Rohban, Hamid Rabiee, Ehsaneddin Asgari. Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). 2023.