Latest AI/ML News

9894 articles · arXiv cs.LG

arXiv cs.LGOct 1, 2026

arXiv:2609.39143v1 Announce Type: cross Abstract: Long-horizon agent interactions generate useful but noisy experience, and retraining models to absor…

arXiv cs.LGOct 1, 2026

arXiv:2609.39106v1 Announce Type: cross Abstract: Conservative bandits must improve an incumbent policy without exhausting a prescribed performance bu…

arXiv cs.LGOct 1, 2026

arXiv:2609.39102v1 Announce Type: cross Abstract: Self-evolving search agents build their own training curricula by jointly optimizing a proposer that…

arXiv cs.LGOct 1, 2026

arXiv:2609.39101v1 Announce Type: cross Abstract: Equipping VLM agents with world modeling capabilities has shown strong potential for complex reasoni…

arXiv cs.LGOct 1, 2026

arXiv:2609.39091v1 Announce Type: cross Abstract: Inference-time alignment of flow and diffusion-based models is critical for achieving flexible gener…

arXiv cs.LGOct 1, 2026

arXiv:2609.39090v1 Announce Type: cross Abstract: Data-driven machine learning (ML) techniques have become an essential tool in many domains of scienc…

arXiv cs.LGOct 1, 2026

arXiv:2609.39081v1 Announce Type: cross Abstract: We spent five weeks using an LLM coding agent on open problems in coding theory: finding large sets…

arXiv cs.LGOct 1, 2026

arXiv:2609.39076v1 Announce Type: cross Abstract: A pool of language models can collaborate and improve collectively by learning from one another's re…

arXiv cs.LGOct 1, 2026

arXiv:2609.39072v1 Announce Type: cross Abstract: Emotion recognition in conversation has been widely studied, but applying Large Language Models (LLM…

arXiv cs.LGOct 1, 2026

arXiv:2609.39047v1 Announce Type: cross Abstract: Interactive video generation (IVG) models have achieved remarkable progress in producing controllabl…

arXiv cs.LGOct 1, 2026

arXiv:2609.39045v1 Announce Type: cross Abstract: Recent advances in large language models have made automatic game generation increasingly feasible,…

arXiv cs.LGOct 1, 2026

arXiv:2609.39020v1 Announce Type: cross Abstract: We study how well deep neural networks approximate and learn spectral Barron functions. Recent studi…

arXiv cs.LGOct 1, 2026

arXiv:2609.39007v1 Announce Type: cross Abstract: Sessionized interaction histories contain behavioral patterns that can improve sequential recommenda…

arXiv cs.LGOct 1, 2026

arXiv:2609.38982v1 Announce Type: cross Abstract: Coding agents powered by large language models (LLMs) have shown remarkable abilities to autonomousl…

arXiv cs.LGOct 1, 2026

arXiv:2609.38958v1 Announce Type: cross Abstract: Large language models (LLMs) have been rapidly improving in long-context tasks, powered by Chain-of-…

arXiv cs.LGOct 1, 2026

arXiv:2609.38934v1 Announce Type: cross Abstract: Differentially private (DP) text generation can protect individual records, but privacy alone does n…

arXiv cs.LGOct 1, 2026

arXiv:2609.38930v1 Announce Type: cross Abstract: In semantic segmentation, a recent line of RankSEG methods directly optimizes Dice/IoU scores at inf…

arXiv cs.LGOct 1, 2026

arXiv:2609.38929v1 Announce Type: cross Abstract: Machine learning systems increasingly face the need to remove the influence of entire data domains,…

arXiv cs.LGOct 1, 2026

arXiv:2609.38926v1 Announce Type: cross Abstract: Long-term precipitation nowcasting requires modeling radar-echo evolution while preserving localized…

arXiv cs.LGOct 1, 2026

arXiv:2609.38925v1 Announce Type: cross Abstract: Multimodal federated learning (MFL) has emerged as a pivotal paradigm for leveraging distributed dat…

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