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In RLHF pipelines, reward scoring blocks policy updates. Slow scoring bottlenecks the entire loop, since no update ru...
Hyperspectral imaging (HSI) is useful for material discrimination, but operational mine screening also depends on how...
Any-to-any models predict any modality from any combination of others within a single network, a formulation used in ...
Multi-warehouse inventory allocation is typically formulated as a mixed-integer programming (MIP) problem, yet no sin...
Wikipedia and Wikidata are widely used for information access, LLM pre-training, and retrieval-augmented generation. ...
Ambivalence and hesitancy (A/H) are conflicting affective states that precede the delay or abandonment of health beha...
RL for code correctness is now established: have the model generate a program, run it against hidden test cases, and ...
Recently, memory management has become a key infrastructure for LLM-based agents, as it directly affects long-horizon...
Kubernetes is central to the cloud-native ecosystem, orchestrating containerised workloads. Recent work suggests that...
Tabular Foundation Models (TFMs) have emerged as novel approaches for tabular predictive tasks, demonstrating competi...
Self-play in simulation produces robust driving policies at scale. Demonstrations of such behavior have been made usi...
Recently, photonic transformer accelerators (PTAs) have successfully achieved significant speedup and energy efficien...