🔗 Who cites «Relevance-guided Supervision for OpenQA with ColBERT»

46 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Relevance-guided Supervision for OpenQA with ColBERT»

1. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
2. Unsupervised Dense Information Retrieval with Contrastive LearningGautier Izacard, Mathilde Caron, Lucas Hosseini, et al.2021 · 824 citations
3. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionKeshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 477 citations
4. Retrieval Augmentation Reduces Hallucination in ConversationKurt Shuster, Spencer Poff, Moya Chen, et al.2021 · 383 citations
5. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
6. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
7. Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
8. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
9. Complex Claim Verification with Evidence Retrieved in the WildJifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 84 citations

37 more papers of our library cite it; they have no page here yet.

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