Action-Aware Generative Sequence Modeling for Short Video Recommendation
Action-Aware Generative Sequence Modeling for Short Video Recommendation Modern recommendation systems often struggle with short videos because they treat ea...
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Action-Aware Generative Sequence Modeling for Short Video Recommendation Modern recommendation systems often struggle with short videos because they treat ea...
Online comments are a powerful force in shaping public opinion, yet predicting which comments will become popular is difficult.
From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models This paper addresses a significant challenge in...
RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion Multi-modal knowledge graph completion (MMKGC) aims to predict missin...
Training Transformers as a Universal Computer This research explores whether a standard transformer model can be trained to function as a universal computer....
Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences Cognitive science often struggles to build broad, integrated theo...
TrialCalibre: A Fully Automated Causal Engine for RCT Benchmarking and Observational Trial Calibration Real-world evidence (RWE) studies are increasingly use...
PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices Mobile devices often struggle to maintain a...
DualFact+: A Multimodal Fact Verification Framework for Procedural Video Understanding Procedural video captioning—the task of describing step-by-step action...
Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows This paper investigates the reliability of agentic AI systems when they are...
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