Arabzadeh, N., Bigdeli, A., & Clarke, C. (2024). Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers ArXiv, abs/2401.04842. https://doi.org/10.48550/ARXIV.2401.04842
References
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2024
Arabzadeh, N., Bigdeli, A., & Clarke, C. (2024). Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers Presented at the Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers conference. https://doi.org/10.1007/978-3-031-56060-6_26
Rorseth, J., Godfrey, P., Golab, L., Srivastava, D., & Szlichta, J. (2024). RAGE Against the Machine: Retrieval-Augmented LLM Explanations ArXiv, abs/2405.13000. https://doi.org/10.48550/ARXIV.2405.13000
Pradeep, R., & Lin, J. (2024). Towards Automated End-to-End Health Misinformation Free Search With A Large Language Model Presented at the Automated End-to-End Health Misinformation Free Search With A Large Language Model conference. https://doi.org/10.1007/978-3-031-56066-8_9
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 Presented at the Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media conference. https://doi.org/10.1609/AAAI.V38I20.30213
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 Presented at the Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media conference. https://doi.org/10.1609/AAAI.V38I20.30213
Upadhyay, S., Kamalloo, E., & Lin, J. (2024). LLMs Can Patch Up Missing Relevance Judgments in Evaluation ArXiv, abs/2405.04727. https://doi.org/10.48550/ARXIV.2405.04727
Usta, A., Liu, C., & Salihoglu, S. (2024). Analysis of Open Government Datasets From a Data Design and Integration Perspective Presented at the Analysis of Open Government Datasets From a Data Design and Integration Perspective conference. https://doi.org/10.48786/EDBT.2024.30
Alaofi, M., Arabzadeh, N., Clarke, C., & Sanderson, M. (2024). Generative Information Retrieval Evaluation ArXiv, abs/2404.08137. https://doi.org/10.48550/ARXIV.2404.08137
Sharifymoghaddam, S., Upadhyay, S., Chen, W., & Lin, J. (2024). UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models ArXiv, abs/2405.10311. https://doi.org/10.48550/ARXIV.2405.10311