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05/24/2023
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
Large Language Models (LLMs) have demonstrated great capabilities in sol...
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02/28/2023
In-Context Instruction Learning
Instruction learning of Large Language Models (LLMs) has enabled zero-sh...
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10/05/2022
Contextualized Generative Retrieval
The text retrieval task is mainly performed in two ways: the bi-encoder ...
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10/04/2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Pretrained Language Models (LMs) memorize a vast amount of knowledge dur...
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04/29/2022
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Language Models (LMs) become outdated as the world changes; they often f...
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04/27/2022
Generative Multi-hop Retrieval
Multi-hop retrieval is the task of retrieving a series of multiple docum...
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10/07/2021
Towards Continual Knowledge Learning of Language Models
Large Language Models (LMs) are known to encode world knowledge in their...
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04/15/2021
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
In open-domain question answering (QA), retrieve-and-read mechanism has ...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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10/21/2020
Is Retriever Merely an Approximator of Reader?
The state of the art in open-domain question answering (QA) relies on an...
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05/01/2020
Spatial Dependency Parsing for 2D Document Understanding
Information Extraction (IE) for document images is often approached as a...
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04/20/2020
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
Automatic speech recognition (ASR) via call is essential for various app...
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11/10/2019
Efficient Dialogue State Tracking by Selectively Overwriting Memory
Recent works in dialogue state tracking (DST) focus on an open vocabular...
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02/22/2019