Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
Multi-warehouse inventory allocation is typically formulated as a mixed-integer programming (MIP) problem, yet no sin...
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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...
Graph foundation models (GFMs) have emerged as a promising paradigm for transferring knowledge across graph domains a...
Technological races create tension between speed and safety: actors may gain by moving faster than competitors, even ...
Computer-use agents (CUAs) increasingly act through desktop GUIs to complete long-horizon tasks. Current benchmarks p...