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Persistent memory makes false information durable: once a false statement is stored, it can be retrieved into future ...
The Traveling Salesman Problem (TSP) is one of the most extensively studied NP-hard optimization problems. Genetic Al...
Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equa...
Question answering (QA) over long, connected documents remains challenging because relevant evidence may span multipl...
Improving the safety of large language models (LLMs) often comes at the expense of utility, as globally applied safet...
Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support...
Reinforcement Learning (RL) has demonstrated significant gains in image captioning, yet it is still limited in encour...
The European Union (EU) has emerged as a leading regulatory body in the development of sustainability and privacy reg...
We formalize the Steiner Traveling Salesman Problem (Steiner-TSP) on Graphs of Convex Sets (GCS), which seeks a minim...
Deep-learning models of anatomy can be numerically plausible yet anatomically impossible, and they generalize poorly ...
Contextualization is essential for production automatic speech recognition (ASR) systems, where user-provided phrases...
For sixty years, machine verification has been a major cost overhead, affordable only for exceptional artifacts. Here...