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05/24/2023
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
Despite remarkable advancements in few-shot generalization in natural la...
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05/22/2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
Recent work in NLP has shown promising results in training models on lar...
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05/16/2023
xPQA: Cross-Lingual Product Question Answering across 12 Languages
Product Question Answering (PQA) systems are key in e-commerce applicati...
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02/15/2023
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Various techniques have been developed in recent years to improve dense ...
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12/20/2022
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories
Despite their impressive performance on diverse tasks, large language mo...
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11/28/2022
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
While the NLP community is generally aware of resource disparities among...
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11/16/2022
Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a re...
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05/24/2022
Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing
This work introduces ATTEMPT (Attentional Mixture of Prompt Tuning), a n...
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12/16/2021
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Retrieval-augmented generation models have shown state-of-the-art perfor...
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07/26/2021
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
We present CORA, a Cross-lingual Open-Retrieval Answer Generation model ...
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06/02/2021
Efficient Passage Retrieval with Hashing for Open-domain Question Answering
Most state-of-the-art open-domain question answering systems use a neura...
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11/03/2020
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
We propose a new optimization framework for aleatoric uncertainty estima...
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10/22/2020
Challenges in Information Seeking QA:Unanswerable Questions and Paragraph Retrieval
Recent progress in pretrained language model "solved" many reading compr...
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10/22/2020
XOR QA: Cross-lingual Open-Retrieval Question Answering
Multilingual question answering tasks typically assume answers exist in ...
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10/02/2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Entity representations are useful in natural language tasks involving en...
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04/21/2020
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering
Many natural language questions require qualitative, quantitative or log...
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04/07/2020
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
We study the problem of generating inferential texts of events for a var...
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02/27/2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
There is an increasing amount of literature that claims the brittleness ...
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11/24/2019
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Answering questions that require multi-hop reasoning at web-scale necess...
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12/15/2018
Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia
We present Wikipedia2Vec, an open source tool for learning embeddings of...
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12/15/2018
Wikipedia2Vec: An Optimized Implementation for Learning Embeddings from Wikipedia
We present Wikipedia2Vec, an open source tool for learning embeddings of...
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09/10/2018
Multilingual Extractive Reading Comprehension by Runtime Machine Translation
Existing end-to-end neural network models for extractive Reading Compreh...
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01/23/2018