Hebert, L. ., Sahu, G. ., Guo, Y. ., Sreenivas, N. K., Golab, L. ., & Cohen, R. . (2024). Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. Presented at the. https://doi.org/10.1609/AAAI.V38I20.30213
Publications
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Arabzadeh, N. ., Kiseleva, J. ., Wu, Q. ., Wang, C. ., Awadallah, A. ., Dibia, V. ., Fourney, A. ., & Clarke, C. . (2024). Towards Better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications. ArXiv, abs/2402.09015. https://doi.org/10.48550/ARXIV.2402.09015
Pradeep, R. ., & Lin, J. . (2024). Towards Automated End-to-End Health Misinformation Free Search With A Large Language Model. End-to-End Health Misinformation Free Search With A Large Language Model. Presented at the. https://doi.org/10.1007/978-3-031-56066-8_9
Azzopardi, L. ., Clarke, C. ., Kantor, P. B., Mitra, B. ., Trippas, J. R., & Ren, Z. . (2024). The Search Futures Workshop. The Search Futures Workshop. Presented at the. https://doi.org/10.1007/978-3-031-56069-9_57
Arabzadeh, N. ., & Clarke, C. . (2024). A Comparison of Methods for Evaluating Generative IR. ArXiv, abs/2404.04044. https://doi.org/10.48550/ARXIV.2404.04044
Khalaji, M. ., Brown, T. ., Daudjee, K. ., & Aksenov, V. . (2024). Practical Hardware Transactional vEB Trees. Practical Hardware Transactional VEB Trees. Presented at the. https://doi.org/10.1145/3627535.3638504
Bonifati, A. ., Ozsu, T. ., Tian, Y. ., Voigt, H. ., Yu, W. ., & Zhang, W. . (2024). The Future of Graph Analytics. The Future of Graph Analytics. Presented at the. https://doi.org/10.1145/3626246.3658369
Arabzadeh, N. ., & Clarke, C. . (2024). Fr\ echet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels. ArXiv, abs/2401.17543. https://doi.org/10.48550/ARXIV.2401.17543
Arabzadeh, N. ., Bigdeli, A. ., & Clarke, C. . (2024). Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers. Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers. Presented at the. https://doi.org/10.1007/978-3-031-56060-6_26
He, X. . (2024). Technical Perspective: Synthetic Data Needs a Reproducibility Benchmark. SIGMOD Record, 53, 64. https://doi.org/10.1145/3665252.3665266