Latest AI/ML News
26317 articles
arXiv:2604.20658v2 Announce Type: replace Abstract: Multi-agent systems built from teams of large language models (LLMs) are increasingly deployed for…
arXiv:2604.18226v2 Announce Type: replace Abstract: Automated analysis of customer feedback on social media is hindered by three challenges: the high…
arXiv:2603.23184v2 Announce Type: replace Abstract: Despite the success of reinforcement learning from human feedback (RLHF), existing reward modeling…
arXiv:2603.16017v2 Announce Type: replace Abstract: Large language models (LLMs) increasingly participate in morally sensitive decision-making, yet ho…
arXiv:2603.02655v2 Announce Type: replace Abstract: Real-time video commentary generation provides textual descriptions of ongoing events in videos. I…
arXiv:2602.02140v2 Announce Type: replace Abstract: Recent advances in unified multimodal models (UMM) have demonstrated remarkable progress in both u…
arXiv:2601.16390v2 Announce Type: replace Abstract: Large language models exhibit strong multilingual capabilities, yet significant performance gaps p…
arXiv:2512.23065v4 Announce Type: replace Abstract: The introduction of BERT established encoder-only transformer models as a foundational paradigm in…
arXiv:2510.22954v2 Announce Type: replace Abstract: Language models (LMs) often struggle to generate diverse, human-like creative content, raising con…
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…