AI
The Epistemic Politics of AI Anthropomorphism
The paper argues that AI anthropomorphism is not just a problem of user misperception, but rather a ...
AI
Approximate Speculative Decoding
Researchers have introduced Approximate Speculative Decoding (ASD), a training-free verifier that im...
AI
Complete, Scalable, and Robust Prioritized Planning for Multi-Robot Ordered Storage and Retrieval at Maximum Capacity
Researchers have developed a planning algorithm for multiple robots to efficiently store and retriev...
AI
Epistemic Transfer in AI-Assisted Verification: A Framework and Evaluation Protocol
Researchers have proposed a framework for evaluating the impact of AI-assisted verification tools on...
AI
EgoCITE: Context-Augmented Indexing and Time-Aware Retrieval for Long-Horizon Egocentric Memory
Researchers have developed EgoCITE, a system for indexing and retrieving informa...
AI
BrainWAM: Action-Space Coordination of Semantic Priors and Predictive Dynamics for Autonomous Driving
Researchers have developed BrainWAM, a framework that combines semantic reasonin...
AI
Low-Rank Dynamics-Effective Latent Carriers for Counterfactual Rollout in Learned World Models
Researchers have developed a method to modify a learned world model's behavior b...
AI
From Sequence to Structure: Relational Uncertainty Propagation for LLM Agents
Researchers have proposed a new framework called RUPA (Relational Uncertainty Pr...