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08/12/2023
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Safety lies at the core of the development of Large Language Models (LLM...
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08/07/2023
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench
Recently, the community has witnessed the advancement of Large Language ...
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05/31/2023
ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models
Large Language Models (LLMs) have made remarkable advancements in the fi...
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05/18/2023
Cross-modality Data Augmentation for End-to-End Sign Language Translation
End-to-end sign language translation (SLT) aims to convert sign language...
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04/05/2023
ParroT: Translating During Chat Using Large Language Models
Large language models (LLMs) like ChatGPT and GPT-4 have exhibited remar...
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03/15/2023
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark
ChatGPT is a cutting-edge artificial intelligence language model develop...
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01/20/2023
Is ChatGPT A Good Translator? A Preliminary Study
This report provides a preliminary evaluation of ChatGPT for machine tra...
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10/24/2022
Adapters for Enhanced Modeling of Multilingual Knowledge and Text
Large language models appear to learn facts from the large text corpora ...
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10/13/2022
Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation
Sign language gloss translation aims to translate the sign glosses into ...
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05/20/2022
Understanding and Mitigating the Uncertainty in Zero-Shot Translation
Zero-shot translation is a promising direction for building a comprehens...
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03/16/2022
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
In this paper, we present a substantial step in better understanding the...
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06/02/2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
Self-training has proven effective for improving NMT performance by augm...
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10/24/2020
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
Non-Autoregressive machine Translation (NAT) models have demonstrated si...
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10/06/2020
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
Large-scale training datasets lie at the core of the recent success of n...
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10/02/2020
Exploiting Unsupervised Data for Emotion Recognition in Conversations
Emotion Recognition in Conversations (ERC) aims to predict the emotional...
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11/20/2019
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
Real-time emotion recognition (RTER) in conversations is significant for...
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10/21/2019
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling
Word2Vec is the most popular model for word representation and has been ...
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10/20/2019
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition
Utterance-level emotion recognition (ULER) is a significant research top...
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04/09/2019
