Latest AI/ML News
20838 articles · 🧠 Research
arXiv:2509.26189v2 Announce Type: replace Abstract: The rapid proliferation of Large Language Models has intensified the challenge of distinguishing L…
arXiv:2508.10020v2 Announce Type: replace Abstract: Enhancing LLM reasoning in federated settings is nontrivial due to stringent computational, commun…
arXiv:2508.05880v3 Announce Type: replace Abstract: Understanding human emotions is central to user-facing AI applications, safety alignment, and the…
arXiv:2506.01732v4 Announce Type: replace Abstract: Large Language Models (LLMs) are pre-trained on large amounts of data from different sources and d…
arXiv:2504.18225v2 Announce Type: replace Abstract: We introduce a new generation of small reasoning models for RAG, search, and source summarization.…
arXiv:2610.08778v1 Announce Type: cross Abstract: Large language models (LLMs) have become increasingly capable problem solvers, but being able to sol…
arXiv:2610.08732v1 Announce Type: cross Abstract: Generative Information Retrieval (GIR) has emerged as a transformative paradigm, shifting document r…
arXiv:2610.08716v1 Announce Type: cross Abstract: Generative retrieval trains a language model to generate the identifier of a relevant document. Rece…
arXiv:2610.08162v1 Announce Type: cross Abstract: Fine-grained emotion recognition supports therapy tools and social robots, but it needs facial data,…
arXiv:2610.08125v1 Announce Type: cross Abstract: Full-duplex spoken dialogue models listen and speak at the same time, enabling voice agents to have…
arXiv:2610.08095v1 Announce Type: cross Abstract: Natural-language access to RDF knowledge graphs is a core Semantic Web ambition. Large language mode…
arXiv:2610.08082v1 Announce Type: cross Abstract: LLM tool-use agents operate in dynamic environments where many actions carry operational risk. Howev…
arXiv:2610.08063v1 Announce Type: cross Abstract: This paper presents the HINTT system submitted to the 2nd Challenge and Workshop on Multilingual Con…
arXiv:2610.07987v1 Announce Type: cross Abstract: Multimodal large language models have become the dominant paradigm for visual understanding, but inc…
arXiv:2610.07948v1 Announce Type: cross Abstract: When using an LLM agent in a consequential domain, making an informed decision about whether to trus…
arXiv:2610.07832v1 Announce Type: cross Abstract: Large language models (LLMs) equipped with terminal access have demonstrated strong capabilities in…
arXiv:2610.07803v1 Announce Type: cross Abstract: Small reasoning models (SRMs) have shown strong performance on complex reasoning tasks by generating…
arXiv:2610.07715v1 Announce Type: cross Abstract: A memory system can retire an obsolete value and later restore it merely because the same old statem…
arXiv:2610.07657v1 Announce Type: cross Abstract: LLM-based multi-agent systems (MAS) engage tools, share memory, and delegate tasks, often encounteri…
arXiv:2610.07647v1 Announce Type: cross Abstract: Speech becomes less intelligible in noisy environments, and humans naturally adapt their voice to co…