Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage
Long prompts present a significant challenge for practical LLM-based systems that need to operate with low latency and limited resources. We investigate prompt...
Hindsight PRIORs for Reward Learning from Human Preferences
Preference based Reinforcement Learning (PbRL) has shown great promise in learning from human preference binary feedback on agent's trajectory behaviors, where one of...
The Slingshot Effect: A Late-Stage Optimization Anomaly in Adam-Family of Optimization Methods
Adaptive gradient methods, notably Adam, have become indispensable for optimizing neural networks, particularly in conjunction with Transformers. In this paper, we present a...
Personalizing Health and Fitness with Hybrid Modeling
Personalizing Health and Fitness with Hybrid Modeling
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Enhancing Paragraph Generation with a Latent Language Diffusion Model
Enhancing Paragraph Generation with a Latent Language Diffusion Model
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Construction of Paired Knowledge Graph – Text Datasets Informed by Cyclic Evaluation
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text...
Human Following in Mobile Platforms with Person Re-Identification
Human following serves an important human-robotics interaction feature, while real-world scenarios make it challenging particularly for a mobile agent. The main challenge is...
MotionPrint: Ready-to-Use, Device-Agnostic, and Location-Invariant Motion Activity Models
Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition. However, practitioners face significant obstacles when dealing...
Corpus Synthesis for Zero-shot ASR Domain Adaptation using Large Language Models
While Automatic Speech Recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to new domains and...
Randomized Algorithms for Precise Measurement of Differentially-private, Personalized
This paper was accepted at The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence.
Personalized recommendations form an important part of today's internet ecosystem, helping...
