Fluent Alignment with Disfluent Judges: Post-training for Lower-resource Languages
arXiv:2512.08777v1 Announce Type: cross Abstract: We propose a post-training method for lower-resource languages that preserves fluency of language models even…
arXiv:2512.08777v1 Announce Type: cross Abstract: We propose a post-training method for lower-resource languages that preserves fluency of language models even…
arXiv:2512.08774v1 Announce Type: cross Abstract: Diffusion models have achieved remarkable success in image synthesis. However, addressing artifacts and unrealistic regions…
arXiv:2512.07877v1 Announce Type: cross Abstract: Network-on-Chip (NoC) design requires exploring a high-dimensional configuration space to satisfy stringent throughput requirements and…
arXiv:2512.07841v1 Announce Type: new Abstract: The growing performance gap between multi-core CPUs and main memory necessitates hardware-aware software design paradigms.…
arXiv:2512.05103v2 Announce Type: replace-cross Abstract: Video generation models are rapidly advancing, but can still struggle with complex video outputs that…
arXiv:2512.07371v1 Announce Type: cross Abstract: Behavior-cloning based visuomotor policies enable precise manipulation but often inherit the slow, cautious tempo of…
arXiv:2512.07400v1 Announce Type: cross Abstract: A persistent paradox in continual learning (CL) is that neural networks often retain linearly separable…
arXiv:2512.05397v2 Announce Type: replace-cross Abstract: Major life transitions demand high-stakes decisions, yet people often struggle to imagine how their future…
arXiv:2512.05998v1 Announce Type: new Abstract: Large language models are increasingly used to evaluate other models, yet these judgments typically lack…
arXiv:2512.03102v2 Announce Type: replace-cross Abstract: In emergency response and other high-stakes societal applications, early-stage state estimates critically shape downstream outcomes.…