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09/19/2023
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
To solve complex tasks, large language models (LLMs) often require multi...
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06/07/2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
This paper reexamines the research on out-of-distribution (OOD) robustne...
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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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10/31/2022
A Close Look into the Calibration of Pre-trained Language Models
Pre-trained language models (PLMs) achieve remarkable performance on man...
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08/24/2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Few-shot Named Entity Recognition (NER) is imperative for entity tagging...
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06/17/2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
Textual backdoor attacks are a kind of practical threat to NLP systems. ...
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10/28/2021
