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On Uncertainty In Natural Language Processing
D Ulmer - arxiv preprint arxiv:2410.03446, 2024 - arxiv.org
The last decade in deep learning has brought on increasingly capable systems that are
deployed on a wide variety of applications. In natural language processing, the field has …
deployed on a wide variety of applications. In natural language processing, the field has …
Confidence estimation for llm-based dialogue state tracking
Estimation of a model's confidence on its outputs is critical for Conversational AI systems
based on large language models (LLMs), especially for reducing hallucination and …
based on large language models (LLMs), especially for reducing hallucination and …
Accounting for Sycophancy in Language Model Uncertainty Estimation
Effective human-machine collaboration requires machine learning models to externalize
uncertainty, so users can reflect and intervene when necessary. For language models, these …
uncertainty, so users can reflect and intervene when necessary. For language models, these …
Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors
Conversation forecasting tasks a model with predicting the outcome of an unfolding
conversation. For instance, it can be applied in social media moderation to predict harmful …
conversation. For instance, it can be applied in social media moderation to predict harmful …
[BOK][B] Towards Computational Methods for Proactively Supporting Healthier Online Discussions
JPW Chang - 2024 - search.proquest.com
One of the biggest problems facing online platforms today is the prevalence of so-called
“toxic” behavior, such as personal attacks, harassment, and general incivility. While a …
“toxic” behavior, such as personal attacks, harassment, and general incivility. While a …