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09/19/2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Large language models (LLMs) with billions of parameters have demonstrat...
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09/18/2023
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Graphic layout generation, a growing research field, plays a significant...
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08/24/2023
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models
Instruction tuning is instrumental in enabling Large Language Models (LL...
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08/19/2023
GameEval: Evaluating LLMs on Conversational Games
The rapid advancements in large language models (LLMs) have presented ch...
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08/16/2023
Detoxify Language Model Step-by-Step
Detoxification for LLMs is challenging since it requires models to avoid...
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05/16/2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Diffusion models have gained significant attention in the realm of image...
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05/08/2023
Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!
Diffusion models have been successfully adapted to text generation tasks...
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04/25/2023
Test-Time Adaptation with Perturbation Consistency Learning
Currently, pre-trained language models (PLMs) do not cope well with the ...
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04/07/2023
Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing
Currently, human-bot symbiosis dialog systems, e.g., pre- and after-sale...
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03/14/2023
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer
Non-autoregressive neural machine translation (NAT) models are proposed ...
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03/13/2023
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
Transformer-based autoregressive (AR) methods have achieved appealing pe...
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02/09/2023
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
A deployed question answering (QA) model can easily fail when the test d...
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10/31/2022
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change
Recent research has revealed that neural language models at scale suffer...
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10/10/2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training
The conventional success of textual classification relies on annotated d...
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07/31/2022
Chinese grammatical error correction based on knowledge distillation
In view of the poor robustness of existing Chinese grammatical error cor...
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04/20/2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Non-autoregressive (NAR) generation, which is first proposed in neural m...
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03/28/2022
Image-text Retrieval: A Survey on Recent Research and Development
In the past few years, cross-modal image-text retrieval (ITR) has experi...
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12/13/2021
C^2-Rec: An Effective Consistency Constraint for Sequential Recommendation
Sequential recommendation methods play an important role in real-world r...
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10/01/2021
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
Establishing retrieval-based dialogue systems that can select appropriat...
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06/28/2021
R-Drop: Regularized Dropout for Neural Networks
Dropout is a powerful and widely used technique to regularize the traini...
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09/24/2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification
Adapting pre-trained language models (PrLMs) (e.g., BERT) to new domains...
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05/30/2020
Solution Path Algorithm for Twin Multi-class Support Vector Machine
The twin support vector machine and its extensions have made great achie...
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05/17/2020