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05/29/2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Textual adversarial attacks can discover models' weaknesses by adding se...
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05/26/2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Large language models (LLMs) have recently shown great potential for in-...
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12/16/2022
Decoder Tuning: Efficient Language Understanding as Decoding
With the evergrowing sizes of pre-trained models (PTMs), it has been an ...
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10/21/2022
Text Editing as Imitation Game
Text editing, such as grammatical error correction, arises naturally fro...
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10/21/2022
Syntax-guided Localized Self-attention by Constituency Syntactic Distance
Recent works have revealed that Transformers are implicitly learning the...
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10/19/2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Textual adversarial samples play important roles in multiple subfields o...
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10/17/2022
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
Capturing emotions within a conversation plays an essential role in mode...
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03/18/2022
Prototypical Verbalizer for Prompt-based Few-shot Tuning
Prompt-based tuning for pre-trained language models (PLMs) has shown its...
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09/09/2018