AI
Forgetting, plasticity, and co-observation: a third facet of continual learning
Researchers have identified a new challenge in continual learning for deep neural networks: data co-...
AI
A strengthening of the MCFL-ness of $O_2$
Researchers have strengthened a proof that $O_2$ is a multiple context-free grammar (MCFG). This typ...
AI
Do Large Language Models Hallucinate Electric Fata Morganas?
Researchers have investigated the phenomenon of 'hallucinations' in large language models, where the...
AI
Identifying Implicit Premises for Logical Reconstruction of Argument Graphs
Researchers have proposed a method for identifying implicit premises in argument graphs. The method ...
AI
Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis
Researchers analyzed how multilingual medical adaptation affects the internal re...
AI
MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
Researchers propose a new framework for designing reward functions in reinforcem...
AI
Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets
Researchers have proposed a new method for data augmentation called Learning-Sta...
AI
SMTrap: Cost-Effective DoS Attacks Against Large Reasoning Models via SMT Conflict Guidance
Researchers have developed a new method for launching denial-of-service (DoS) at...