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cs.CL2024
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
Yuchen Wen, Keping Bi, Wei Chen +2
As large language models (LLMs) become an important way of information access, there have been increasing concerns that LLMs may intensify the spread of unethical content, includin…
cs.CL2024
A Unified Causal View of Instruction Tuning
Lu Chen, Wei Huang, Ruqing Zhang +3
Instruction tuning on a mixture of tasks has improved zero-shot capabilities in natural language processing (NLP). Nevertheless, existing methods often learn features that exhibit…
cs.CL2023
Inducing Causal Structure for Abstractive Text Summarization
Lu Chen, Ruqing Zhang, Wei Huang +3
The mainstream of data-driven abstractive summarization models tends to explore the correlations rather than the causal relationships. Among such correlations, there can be spuriou…