2 citations · 3 across the 10 of their papers we have counts for
13 papers
Low-Resource Guidance for Controllable Latent Audio Diffusion
Zachary Novack, Zack Zukowski, CJ Carr +6
Generative audio requires fine-grained controllable outputs, yet most existing methods require model retraining on specific controls or inference-time controls (\textit{e.g.}, guid…
UReason: Benchmarking Reasoning-to-Generation Alignment in Unified Multimodal Models
Cheng Yang, Chufan Shi, Bo Shui +7
Unified multimodal models (UMMs) aim to integrate multimodal understanding and generation within a unified architecture, yet it remains unclear to what extent textual and visual mo…
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick +1
A limitation of current neural dialog models is that they tend to suffer from a lack of specificity and informativeness in generated responses, primarily due to dependence on train…
Truth-Conditional Captioning of Time Series Data
Harsh Jhamtani, Taylor Berg-Kirkpatrick
In this paper, we explore the task of automatically generating natural language descriptions of salient patterns in a time series, such as stock prices of a company over a week. A…
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs
Harsh Jhamtani, Varun Gangal, Eduard Hovy +1
Humans often employ figurative language use in communication, including during interactions with dialog systems. Thus, it is important for real-world dialog systems to be able to h…
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley +1
Humans often refer to personal narratives, life experiences, and events to make a conversation more engaging and rich. While persona-grounded dialog models are able to generate res…