Siddhartha Brahma
3 papers in the PaperMetrix corpus
Papers by this author
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Unsupervised Learning of Sentence Representations Using Sequence Consistency
2018 · arXiv (Cornell University)
Computing universal distributed representations of sentences is a fundamental task in natural language processing. We propose ConsSent, a simple yet surprisingly powerful unsupervised method to learn such representations by enforcing consistency constraints on sequences of …
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Multi-Vector Retrieval as Sparse Alignment
2022 · arXiv (Cornell University)
Multi-vector retrieval models improve over single-vector dual encoders on many information retrieval tasks. In this paper, we cast the multi-vector retrieval problem as sparse alignment between query and document tokens. We propose AligneR, a novel …
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Scaling Instruction-Finetuned Language Models
2022 · arXiv (Cornell University)
Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks. In this paper we explore instruction finetuning with a particular focus on …