Kamalika Das

2024

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Kamalika Das's perspective

Ordered by how strongly the researchers Kamalika Das trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. The Probabilistic Relevance Framework: BM25 and Beyond
  3. Dense Passage Retrieval for Open-Domain Question Answering (Conference on Empirical Methods in Natural Language Processing)
  4. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
  5. Billion-Scale Similarity Search with GPUs
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Retrieval Augmentation Reduces Hallucination in Conversation
  8. Estimating the Support of a High-Dimensional Distribution
  9. ImageNet classification with deep convolutional neural networks
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers