{
 "id": "LouisDo2108/temporal-nobel-prize",
 "owner": "LouisDo2108",
 "name": "temporal-nobel-prize",
 "downloads": 320,
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 "last_modified": "2025-06-06T09:44:29.000Z",
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 "tasks": [
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 "citation": "@inproceedings{10.1145/3627673.3679800,\nauthor = {Wu, Feifan and Liu, Lingyuan and He, Wentao and Liu, Ziqi and Zhang, Zhiqiang and Wang, Haofen and Wang, Meng},\ntitle = {Time-Sensitve Retrieval-Augmented Generation for Question Answering},\nyear = {2024},\nisbn = {9798400704369},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3627673.3679800},\ndoi = {10.1145/3627673.3679800},\nbooktitle = {Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},\npages = {2544–2553},\nnumpages = {10},\nkeywords = {large language model, retrieval-augmented generation, retriever, supervised contrastive learning},\nlocation = {Boise, ID, USA},\nseries = {CIKM '24}\n}",
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