Latest AI/ML News
8160 articles · arXiv cs.AI
arXiv:2610.04138v1 Announce Type: cross Abstract: Account takeover (ATO) fraud is a growing threat to digital banking, requiring effective detection w…
arXiv:2610.04134v1 Announce Type: cross Abstract: The discovery and development of advanced materials is a challenging process constrained by the high…
arXiv:2610.04132v1 Announce Type: cross Abstract: Building LLMs that behave well socially, not merely correctly, requires Building LLMs that behave we…
arXiv:2610.04125v1 Announce Type: cross Abstract: Self-report is an appealing low-cost probe of an LLM's dispositions, but recent work finds only sele…
arXiv:2610.04123v1 Announce Type: cross Abstract: AI agents can take actions. At times, those actions can go beyond what is intended. Agent reliabilit…
arXiv:2610.04109v1 Announce Type: cross Abstract: Real-world time series are frequently driven by exogenous events and structural shifts, rendering co…
arXiv:2610.04091v1 Announce Type: cross Abstract: Signal separation problems are common in science. A prominent example of this occurs during the use…
arXiv:2610.04087v1 Announce Type: cross Abstract: Agentic workflows are increasingly used across domains such as technology, finance, and enterprise o…
arXiv:2610.04084v1 Announce Type: cross Abstract: Generative AI can produce engineering artefacts, but generation alone does not determine whether or…
arXiv:2610.04081v1 Announce Type: cross Abstract: General circulation models (GCMs) are the primary tool for simulating planetary atmospheres. They pl…
arXiv:2610.04079v1 Announce Type: cross Abstract: Human-agent teams are collaborative systems where humans and agents work interdependently to achieve…
arXiv:2610.04054v1 Announce Type: cross Abstract: Recent advances in robot learning have enabled generalist control policies capable of completing a w…
arXiv:2610.04036v1 Announce Type: cross Abstract: Vision Transformers (ViTs) have shown strong performance in volumetric segmentation, but their effec…
arXiv:2610.04017v1 Announce Type: cross Abstract: Localizing behavior to individual components of a language model is a central goal of mechanistic in…
arXiv:2610.04003v1 Announce Type: cross Abstract: Few-Shot Class-Incremental Learning (FSCIL) requires models to continuously learn new classes from l…
arXiv:2610.03994v1 Announce Type: cross Abstract: VeriContest is a benchmark of 1007 competitive-programming problems in Rust, each with a Verus speci…
arXiv:2610.03971v1 Announce Type: cross Abstract: Automated repair of High-Level Synthesis (HLS) designs using large language models (LLMs) is an emer…
arXiv:2610.03940v1 Announce Type: cross Abstract: During fine-tuning, a language model can assign less probability to previously learned answers even…
arXiv:2610.03873v1 Announce Type: cross Abstract: Text-driven human motion generation has advanced substantially, yet most methods assume instructions…
arXiv:2610.03861v1 Announce Type: cross Abstract: Foundation models and large-scale human data provide rich sources of manipulation intent, but transl…