Blog
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework
15th December 2025, by Yifan Wang | L
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Abstract: We introduce RSA-Control, a novel framework for controllable text generation (CTG) that does not require additional training and is grounded in principles of pragmatics via Rational Speech Acts (RSA). By employing recursive reasoning between imaginary speakers and listeners, RSA-Control steers large language models (LLMs) to produce text where desired attributes can be better perceived by listeners. This framework exemplifies a fused neuroexplicit approach, where neural models are combined with explicit knowledge in a post-hoc manner. |
Paper: aclanthology | Software: GitHub | Keywords: NLP, controlled generation, rational speech act
Learn MoreIntroducing the Neuroexplicit Models Blog
14th November 2025, by Ji-Ung Lee | A F L V
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Abstract: Neuroexplicit models are a type of machine learning model that combines deep learning with explicit AI; allowing them to utilize the generalization capabilities of deep neural models and at the same time, to exploit human-understandable, explicit components. Neurosymbolic models are the most prominent, but by far not the sole kind of neuroexplicit models. In this blog post, we will draw an outline of neuroexplicit models and by doing so, provide a new perspective on taxonomizing the increasing number of AI models. |