Dhanajit Brahma

Conference · April 18, 2026 Recent advances in summary evaluation are based on model-based metrics to assess quality dimensions, such as completeness, conciseness, and faithfulness. However, these methods often require large language models, and predicted scores are frequently miscal ... Link to item Cite

Coupling Generative Modeling and an Autoencoder with the Causal Bridge

Conference · September 29, 2025 We consider inferring the causal effect of a treatment (intervention) on an outcome of interest in situations where there is potentially an unobserved confounder influencing both the treatment and the outcome. This is achievable by assuming access to two s ... Link to item Cite

A Probabilistic Framework for Lifelong Test-Time Adaptation

Conference Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · January 1, 2023 Test-time adaptation (TTA) is the problem of updating a pre-trained source model at inference time given test input(s) from a different target domain. Most existing TTA approaches assume the setting in which the target domain is stationary, i.e., all the t ... Full text Cite

Fine-Grained Emotion Prediction by Modeling Emotion Definitions

Conference 2021 9th International Conference on Affective Computing and Intelligent Interaction Acii 2021 · January 1, 2021 In this paper, we propose a new framework for fine-grained emotion prediction in the text through emotion definition modeling. Our approach involves a multi-task learning framework that models definitions of emotions as an auxiliary task while being traine ... Full text Cite