Proactive Dialogue Models: Ending Redundant Interactions with Intent Prediction
A new study proposes a proactive dialogue model based on Temporal Bayesian Networks that predicts users' upcoming intent…
478 articles about 'ACT'
A new study proposes a proactive dialogue model based on Temporal Bayesian Networks that predicts users' upcoming intent…
A research team has proposed the Web2BigTable system, featuring a bi-level multi-agent architecture that combines large …
A study analyzing nearly 20,000 interaction rounds from 110 undergraduate students offers the first systematic look at h…
Twilio has optimized its Conversation Relay using data from millions of minutes of AI calls, tackling the 'digital awkwa…
Tesla revised its annual filing to disclose $573 million in combined product sales to Musk's xAI and SpaceX last year. S…
A new study proposes an adaptive robot handover framework that dynamically adjusts object delivery orientation and angle…
A latest arXiv paper explores bringing learning-based robotic control from the lab to real manufacturing production line…
Researchers propose the Selective Non-Gaussian Refinement (SNGR) framework, which introduces a nested sampling mechanism…
A research team introduces the OccDirector framework, the first to enable controlling multi-agent behaviors and interact…
A research team has launched ATLAS, an annotation tool specifically designed for long-horizon robotic demonstration data…
A latest arXiv paper proposes the Alter-Art paradigm, enabling artists to create through "inhabiting" robot bodies, tran…
A striking new trend is drawing attention: young people are the most frequent users of AI tools, yet their negative sent…