A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

6 December 2023

Papers citing "A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints"

12 / 12 papers shown

Title
Semantic Probabilistic Control of Language Models Kareem Ahmed Catarina G Belém Padhraic Smyth Sameer Singh 35 0 0 04 May 2025
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation Gwen Yidou Weng Benjie Wang Guy Van den Broeck BDL 33 0 0 25 Apr 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 44 0 0 25 Mar 2025
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 54 9 0 09 Jan 2025
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification Tao Meng Ninareh Mehrabi Palash Goyal Anil Ramakrishna Aram Galstyan Richard Zemel Kai-Wei Chang Rahul Gupta Charith Peris 17 1 0 07 Oct 2024
Logically Consistent Language Models via Neuro-Symbolic Integration Diego Calanzone Stefano Teso Antonio Vergari LRM 64 6 0 09 Sep 2024
Adaptable Logical Control for Large Language Models Honghua Zhang Po-Nien Kung Masahiro Yoshida Guy Van den Broeck Nanyun Peng 27 8 0 19 Jun 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective Anji Liu Kareem Ahmed Guy Van den Broeck TPM BDL 26 7 0 02 Jun 2024
On the Independence Assumption in Neurosymbolic Learning Emile van Krieken Pasquale Minervini E. Ponti Antonio Vergari 24 10 0 12 Apr 2024
Challenges in Detoxifying Language Models Johannes Welbl Amelia Glaese J. Uesato Sumanth Dathathri John F. J. Mellor Lisa Anne Hendricks Kirsty Anderson Pushmeet Kohli Ben Coppin Po-Sen Huang LM&MA 236 191 0 15 Sep 2021
Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia Thomas Lukasiewicz AILaw 24 94 0 20 Oct 2020
Logic Tensor Networks for Semantic Image Interpretation Ivan Donadello Luciano Serafini Artur Garcez 51 208 0 24 May 2017