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05/23/2023
Aligning Large Language Models through Synthetic Feedback
Aligning large language models (LLMs) to human values has become increas...
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01/27/2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
As the size of the pre-trained language model (PLM) continues to increas...
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12/21/2022
Critic-Guided Decoding for Controlled Text Generation
Steering language generation towards objectives or away from undesired c...
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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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10/20/2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Out-of-distribution (OOD) detection aims to discern outliers from the in...
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10/08/2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
There are growing interests in adapting large-scale language models usin...
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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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06/16/2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
Large-scale pre-trained language models (PLMs) are well-known for being ...
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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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05/25/2022
Towards More Realistic Generation of Information-Seeking Conversations
In this paper, we introduce a novel framework SimSeek (simulating inform...
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05/04/2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
Despite the recent advances in abstractive summarization systems, it is ...
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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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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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04/15/2021
Reward Optimization for Neural Machine Translation with Learned Metrics
Neural machine translation (NMT) models are conventionally trained with ...
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12/03/2020
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
Recent advances in pre-trained language models have significantly improv...
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01/23/2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthet...
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01/23/2020
Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation
Recent works have shown that generative data augmentation, where synthet...
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08/25/2019
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
We propose a simple approach to train better Korean word representations...
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09/07/2018
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Data scarcity is one of the main obstacles of domain adaptation in spoke...
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12/02/2017
Improving Visually Grounded Sentence Representations with Self-Attention
Sentence representation models trained only on language could potentiall...
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07/10/2017