Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.08159v1 Announce Type: cross Abstract: COMET reports translation quality as a single number, and that number is routinely compared across t…
arXiv:2610.08132v1 Announce Type: cross Abstract: Concept drift threatens production machine learning, yet the empirical behavior of multivariate two-…
arXiv:2610.08123v1 Announce Type: cross Abstract: End-to-end planners based on waypoint regression achieve strong open-loop accuracy, but they primari…
arXiv:2610.08112v1 Announce Type: cross Abstract: Path-following control strategies typically follow the bi-objective optimization dilemma: minimizing…
arXiv:2610.08098v1 Announce Type: cross Abstract: AI agents increasingly rely on modular third-party "skills" that are dynamically selected by skill r…
arXiv:2610.08090v1 Announce Type: cross Abstract: IPv6 extension headers (EHs), such as fragmentation, segment routing, and in-situ telemetry, are ope…
arXiv:2610.08078v1 Announce Type: cross Abstract: Standard causal identification methods often assume no unmeasured confounding and can fail when rele…
arXiv:2610.08077v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) turns agent experience into learning signals p…
arXiv:2610.08055v1 Announce Type: cross Abstract: Automatic assessment of communication quality in dyadic counseling conversations is bottlenecked by…
arXiv:2610.08048v1 Announce Type: cross Abstract: LLM agents often lack the operational knowledge to act reliably in new environments, as they must di…
arXiv:2610.08020v1 Announce Type: cross Abstract: Classical force fields (FFs) remain the workhorse for large-scale simulations even as machine-learne…
arXiv:2610.08016v1 Announce Type: cross Abstract: We construct neural approximation classes native to the graph spaces H(div) and H(curl), in two and…
arXiv:2610.07966v1 Announce Type: cross Abstract: Neural audio synthesis models like the Realtime Audio Variational autoEncoder (RAVE) achieve impress…
arXiv:2610.07906v1 Announce Type: cross Abstract: We study sequential content sufficiency by investigating whether a representation retains the ordere…
arXiv:2610.07894v1 Announce Type: cross Abstract: Large language models (LLMs) are expected to answer questions faithfully based on the provided conte…
arXiv:2610.07884v1 Announce Type: cross Abstract: Adaptive multiresolution methods reduce representation cost by concentrating fine-scale degrees of f…
arXiv:2610.07863v1 Announce Type: cross Abstract: Long-horizon LLM agents act on an append-only interaction history that is re-sent to the model at ev…
arXiv:2610.07862v1 Announce Type: cross Abstract: A central challenge for scientific agents is to turn analytical experience into reusable expertise g…
arXiv:2610.07846v1 Announce Type: cross Abstract: The scenario approach is a well-established statistical framework for data-driven decision-making. I…
arXiv:2610.07843v1 Announce Type: cross Abstract: In digital pathology, compact evidence is often used to explain or audit predictions made by whole-s…