by ODEFTO AI Labs
arXiv:2510.15015v1 Announce Type: cross Abstract: Text-to-Image (T2I) models have advanced rapidly, yet they remain vulnerable to semantic leakage, the unintended…
arXiv:2509.16391v2 Announce Type: replace-cross Abstract: Machine unlearning (MU) aims to remove the influence of specific “forget” data from a trained…
arXiv:2510.15683v1 Announce Type: cross Abstract: Dense Retrieval Models (DRMs) are a prominent development in Information Retrieval (IR). A key challenge…
arXiv:2506.00452v2 Announce Type: replace-cross Abstract: In orthogonal frequency division multiplexing (OFDM), accurate channel estimation is crucial. Classical signal processing based…
arXiv:2510.14466v1 Announce Type: cross Abstract: As large language models (LLMs) rapidly advance, performance on high-resource languages (e.g., English, Chinese) is…
arXiv:2510.13857v1 Announce Type: cross Abstract: The advent of powerful Large Language Models (LLMs) has ushered in an “Age of the…
arXiv:2509.21278v2 Announce Type: replace-cross Abstract: Image composition aims to seamlessly insert a user-specified object into a new scene, but existing…
arXiv:2510.14588v1 Announce Type: cross Abstract: Video generation has recently made striking visual progress, but maintaining coherent object motion and interactions…
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