We further design an expert-wise training strategy to alleviate the impact of unhelpful demonstrations when optimizing the retriever model.

Partial observability of the underlying states generally presents significant challenges for reinforcement learning (RL).

Asabaseline for DCLM, we conduct extensive experiments and find that model-based filtering is key to assembling a high-quality training set.

History is already being made at the Milano Cortina Games--and they haven't even started. Typically, it's a cool costume at the opening ceremony, or a new cauldron for the Olympic flame, or maybe a new fancy stadium the host city will have no use for in 10 years. Then there are the brand-new records set during each Games, jaw-dropping examples of human strength, talent, and mind-melting perseverance. But for the 2026 Winter Olympics, some of the most notable firsts are coming out of the Olympic Village rather than the individual venues. They are the ones pushing their sports forward and making history in the process.

War of 1812 veteran Shadrack Byfield's second book describes a grittier life story--and a hook for a hand. Breakthroughs, discoveries, and DIY tips sent six days a week. A long-lost second memoir penned by a famed 19th-century British soldier named Shadlock Byfield resurfaced in a rather unexpected place--Cleveland, Ohio. As explained in a study recently published in the, Byfield's second book depicts a very different war veteran than the one described in his first autobiography written 11 years earlier. Although he may not be a household name, many early American history buffs are well acquainted with Shadrack Byfield .

Legacy (unsupported) robotic platforms often lose research utility when manufacturer support ends, preventing integration of modern sensing, speech, and interaction capabilities. We present the Enhanced NAO, a revitalized version of Aldebaran's NAO robot featuring upgraded beamforming microphones, RGB-D and thermal cameras, and additional compute resources in a fully self-contained package. This system combines cloud-based and local models for perception and dialogue, while preserving the NAO's expressive body and behaviors. In a pilot user study validating conversational performance, the Enhanced NAO delivered significantly higher conversational quality and elicited stronger user preference compared to the NAO AI Edition, without increasing response latency. The added visual and thermal sensing modalities established a foundation for future perception-driven interaction. Beyond this implementation, our framework provides a platform-agnostic strategy for extending the lifespan and research utility of legacy robots, ensuring they remain valuable tools for human-robot interaction.