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arXiv:2601.08434v4 Announce Type: replace-cross Abstract: The advent of Large Multimodal Models (LMMs) offers a promising technology to tackle the limitations of modular design in autonomous driving, which often falters in open-world scenarios…
For-profit model-makers, many of which are spending billions on AI infrastructure, will be chasing revenue from just ten percent of steps involved in agentic AI workflows, according to analyst firm Gartner. “Nine in 10 agent workflow steps are…
arXiv:2603.17450v3 Announce Type: replace-cross Abstract: Sequential Recommendation (SR) learns sequence-level Collaborative Filtering (CF) from interactions, but ID-based models struggle with sparse data and cold-start items. In contrast, item…
arXiv:2507.02074v3 Announce Type: replace-cross Abstract: Crash detection from video feeds is a critical problem in intelligent transportation systems. Recent developments in large language models (LLMs) and vision-language models (VLMs) have…
arXiv:2605.07112v2 Announce Type: replace Abstract: Agentic AI systems that invoke external tools are powerful but costly, leading developers to default to large models and overspend inference budgets. Existing model routers target chat responses…
arXiv:2611.02587v1 Announce Type: cross Abstract: Large language models are increasingly consulted for religious knowledge, including the recall of specific Hadith (recorded sayings and actions of the Prophet Muhammad, peace be upon him). Unlike…
arXiv:2611.02166v1 Announce Type: cross Abstract: Machine learning models have shown exceptional accuracy for ballot classification in election systems. Recent research has demonstrated that these ballot classification models are vulnerable to…
arXiv:2611.00597v1 Announce Type: cross Abstract: Does eliciting five weighted estimates within a single response change how a language model responds to information? Across anchoring, hindsight, base-rate, conjunction, and status-quo/default…
arXiv:2611.00539v1 Announce Type: cross Abstract: Imitation policies inherit the operator's pace, and re-timing the demonstrations to run faster works only until success collapses at two to three times demonstration speed. Recent methods attribute…
arXiv:2611.00442v1 Announce Type: cross Abstract: When a multi-turn agent delivers a tool's structured records into the model's context and re-emits them each turn, every turn can corrupt data the tool computed correctly. We measure this in a…
arXiv:2602.11674v2 Announce Type: replace Abstract: Large Language Models (LLMs) are advancing rapidly, yet the benchmarks used to measure this progress are becoming increasingly unreliable. Score inflation and selective reporting have eroded the…
arXiv:2611.01527v1 Announce Type: new Abstract: A scientific agent can give the same verdict while reading and citing different evidence. BioAgent-DF tests this separation using paired reference and candidate values saved at the same scientific…
OpenAI, compania care a declanșat „revoluția” inteligenței artificiale prin lansarea ChatGPT, l-a angajat pe fostul secretar american al armatei terestre, Dan Driscoll, într-un post nou consacrat utilizării AI în domeniul securității naționale…
arXiv:2611.04379v1 Announce Type: cross Abstract: Scene Graph Generation (SGG) produces structured scene representations, yet its training-time backdoor risk remains unexplored. Unlike classification, SGG exposes a pair-level attack surface that…
Researchers from the Faculty of Physics at the University of Warsaw, the Military University of Technology (Poland), IBM Research Zurich and the French National Centre for Scientific Research (CNRS) have observed a new quantum state of matter known…
Frédéric Godemel, Executive Vice-President for Energy Management, Schneider Electric, discusses the energy systems and infrastructure needed to support AI-driven growth with Bloomberg's Dana Perkins at Bloomberg Tech 2026 in London. (Source…
Cu siguranță te-ai întrebat, măcar o dată, încotro se îndreaptă medicina și cum va arăta o vizită la medic peste câțiva ani. Va putea, oare, inteligența artificială să identifice mai repede bolile, iar testele genetice să ne arate ce afecțiuni…
arXiv:2605.20107v2 Announce Type: replace-cross Abstract: JEPAs often regularize one-view embeddings toward an isotropic Gaussian, implicitly baking Euclidean symmetry into the representation. We show that this is not merely a benign default. For a…
arXiv:2611.04090v1 Announce Type: cross Abstract: Practitioners who compare systems with an LLM judge and have no human labels often check a conclusion by repeating it with a judge from another provider. We test how far that check can be trusted…
arXiv:2611.05135v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being used to turn citizens' opinions into collective proposals. These proposals can make assignments: who should act, what must be done, how much one…
arXiv:2607.22683v2 Announce Type: replace Abstract: With the unprecedented success of Language Models (LMs), the science of Prompt Engineering has evolved the powerful idea of Prompt Programming, where prompts are treated as a programmable control…
arXiv:2610.23344v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used to automate AI research, including language-model (LM) development, offering a potential path toward recursive self-improvement. However…
arXiv:2608.07786v2 Announce Type: replace Abstract: Open-weight large language models (LLMs) are increasingly developed through complex, multi-stage pipelines, leading to intricate lineage relationships that reflect model origin, ownership, and…
arXiv:2611.04111v1 Announce Type: cross Abstract: AI-generated images have reached unprecedented realism, while instruction-driven AI editors re-synthesize images for local changes, leaving no splice boundary to localize. Most detectors are black…
arXiv:2611.04968v1 Announce Type: cross Abstract: This study evaluates whether large language models (LLMs) can reliably replace or complement human research assistants in linguistically complex annotation. In a controlled annotation task, 73 human…
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