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05/27/2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
The deployment of large-scale generative models is often restricted by t...
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12/21/2022
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
Through in-context learning (ICL), large-scale language models are effec...
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12/20/2022
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
Task-oriented dialogue (TOD) systems are mainly based on the slot-fillin...
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12/07/2022
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning
Recent studies have proposed unified user modeling frameworks that lever...
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10/17/2022
Keep Me Updated! Memory Management in Long-term Conversations
Remembering important information from the past and continuing to talk a...
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09/05/2022
Continuous Decomposition of Granularity for Neural Paraphrase Generation
While Transformers have had significant success in paragraph generation,...
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05/25/2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Despite recent explosion in research interests, in-context learning and ...
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05/25/2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
Text-to-image generation and image captioning are recently emerged as a ...
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05/19/2022
Two-Step Question Retrieval for Open-Domain QA
The retriever-reader pipeline has shown promising performance in open-do...
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04/30/2022
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models
Recent open-domain dialogue models have brought numerous breakthroughs. ...
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04/28/2022
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model
Many recent studies on large-scale language models have reported success...
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04/27/2022
Plug-and-Play Adaptation for Continuously-updated QA
Language models (LMs) have shown great potential as implicit knowledge b...
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11/04/2021
Response Generation with Context-Aware Prompt Learning
Pre-trained language models (PLM) have marked a huge leap in neural dial...
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09/16/2021
Efficient Attribute Injection for Pretrained Language Models
Metadata attributes (e.g., user and product IDs from reviews) can be inc...
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09/10/2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
GPT-3 shows remarkable in-context learning ability of large-scale langua...
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06/18/2021
Weakly Supervised Pre-Training for Multi-Hop Retriever
In multi-hop QA, answering complex questions entails iterative document ...
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05/30/2021
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
We propose NeuralWOZ, a novel dialogue collection framework that uses mo...
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04/18/2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Large-scale language models such as GPT-3 are excellent few-shot learner...
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10/23/2020
ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding
Language model pre-training has shown promising results in various downs...
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07/06/2020
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic
Tracking suspected cases of COVID-19 is crucial to suppressing the sprea...
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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
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
Answerer in Questioner's Mind (AQM) is an information-theoretic framewor...
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02/12/2018
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue
Goal-oriented dialogue has been paid attention for its numerous applicat...
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06/05/2016
