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Found 6 papers, 3 papers with code
Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches
Yet, NLP work in this area has been restricted to evaluating a single approach to treatment, when prior research indicates therapists used a wide variety of interventions with their clients, often in the same session.
Promptly Predicting Structures: The Return of Inference
Can the promise of the prompt-based paradigm be extended to such structured outputs?
Learning Constraints for Structured Prediction Using Rectifier Networks
Various natural language processing tasks are structured prediction problems where outputs are constructed with multiple interdependent decisions.
INFOTABS: Inference on Tables as Semi-structured Data
In this paper, we observe that semi-structured tabulated text is ubiquitous; understanding them requires not only comprehending the meaning of text fragments, but also implicit relationships between them.
A Logic-Driven Framework for Consistency of Neural Models
While neural models show remarkable accuracy on individual predictions, their internal beliefs can be inconsistent across examples.
Correlated discrete data generation using adversarial training
Generative Adversarial Networks (GAN) have shown great promise in tasks like synthetic image generation, image inpainting, style transfer, and anomaly detection.
