Can Scale Save Us From Plasticity Loss in Large Language Models?
Can Scale Save Us From Plasticity Loss in Large Language Models? This research investigates a fundamental challenge in artificial intelligence: "loss of plas...
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Can Scale Save Us From Plasticity Loss in Large Language Models? This research investigates a fundamental challenge in artificial intelligence: "loss of plas...
Assessing Distribution Shift in Human Activity Recognition for Domain Generalization Human Activity Recognition (HAR) systems often struggle when moved from...
Difference-Making without Making a Difference This paper investigates the theoretical foundations of actual causation by examining a series of seven definiti...
Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System Evaluating agentic data analysis systems is significantly more complex than evalu...
Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models This research addresses a fundamental...
PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support Mental health assessments often rely on isolate...
SPIRAL: Learning to Search and Aggregate Language models often struggle to solve complex reasoning tasks, not because they lack the necessary compute, but be...
The Topology of Ill-Posed Questions: Persistent Homology for Detection and Steering in LLMs Large language models often struggle when faced with "ill-posed"...
TailorMind: Towards Preference-Aligned Multimodal Content Generation addresses the challenge of creating personalized content for users without relying on ex...
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring Remote patient monitoring (RPM) allows healthcare providers to track a patie...
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