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05/19/2023
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval
Neural information retrieval often adopts a retrieve-and-rerank framewor...
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03/01/2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Many information retrieval tasks require large labeled datasets for fine...
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01/30/2023
Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy?
Contrary to its original interpretation as a facilitator of knowledge tr...
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01/23/2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
The field of Question Answering (QA) has made remarkable progress in rec...
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12/02/2022
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
Neural information retrieval (IR) systems have progressed rapidly in rec...
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11/29/2022
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers
Fine-tuning pre-trained language models (PLMs) achieves impressive perfo...
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06/16/2022
GAAMA 2.0: An Integrated System that Answers Boolean and Extractive Questions
Recent machine reading comprehension datasets include extractive and boo...
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05/15/2022
Not to Overfit or Underfit? A Study of Domain Generalization in Question Answering
Machine learning models are prone to overfitting their source (training)...
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04/24/2022
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
We show that supervised neural information retrieval (IR) models are pro...
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04/20/2022
Synthetic Target Domain Supervision for Open Retrieval QA
Neural passage retrieval is a new and promising approach in open retriev...
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12/15/2021
Learning Cross-Lingual IR from an English Retriever
We present a new cross-lingual information retrieval (CLIR) model traine...
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04/15/2021
Towards Robust Neural Retrieval Models with Synthetic Pre-Training
Recent work has shown that commonly available machine reading comprehens...
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12/02/2020
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training
End-to-end question answering (QA) requires both information retrieval (...
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11/06/2020
Answer Span Correction in Machine Reading Comprehension
Answer validation in machine reading comprehension (MRC) consists of ver...
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10/24/2020
Improved Synthetic Training for Reading Comprehension
Automatically generated synthetic training examples have been shown to i...
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10/12/2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation
Transfer learning techniques are particularly useful in NLP tasks where ...
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05/18/2020