arXiv
Verdict: NotableQuantum-Inspired Pairwise Ranking Aggregation via Active LLM Feedback
Ranking aggregation from multiple retrievers is a powerful yet under-explored technique in modern retrieval and RAG systems.
Quantum machines, new materials, and the universe at every scale.
arXiv
Verdict: NotableRanking aggregation from multiple retrievers is a powerful yet under-explored technique in modern retrieval and RAG systems.
Scientific foundation models (SciFMs) have achieved remarkable performance on a wide range of PDEs, including the ability to efficiently adapt to unseen data distributions with additional finetuning.
Optical interfaces that connect long-lived spin qubits to photons are a central requirement for quantum networking and distributed quantum information processing.
We present a unified projection of the sensitivity to the Arkani-Hamed-Dimopoulos-Dvali (ADD) model of large extra dimensions in the monojet plus missing transverse momentum final state ....
The Little-Parks effect played a pivotal role in establishing fluxoid quantization in doubly connected superconductors and providing early evidence for electron pairing, central to BCS ....
LLM-guided program evolution can produce mathematical constructions, but validity, generality, and reproducibility require distinct evidence.
Finite-temperature phase stability is essential to materials discovery, but the evidence needed to describe it remains scattered across decades of literature.