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From the 1 of 13 linked papers with an AI index.

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13 papers

cs.CR2026

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness

Jiahao Huo, Wenjie Qu, Yibo Yan +5

The paper introduces SAMark, a text watermarking method that remains detectable even after paragraph‑level paraphrasing by removing reliance on sentence order and using a hyperboli…

cs.CV2026

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning

Xin Zou, Haolin Deng, Yibo Yan +6

Inductive biases steer learning toward generalizable solutions by encoding task structure. In this work, we identify a crucial missing bias in MLLMs: cross-view consistency, \texti…

cs.LG2026

ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models

Chengze Li, Lingwei Wei, Li Sun +7

Partial differential equation (PDE) foundation models are pretrained networks that forecast how physical fields like velocity and pressure evolve from a single reusable solver. On…

cs.SE2026

Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning

Lingzhe Zhang, Tong Jia, Yunpeng Zhai +6

Reinforcement fine-tuning (RFT) has become a core paradigm for post-training large language models, yet its training process remains highly fragile. Existing efforts mainly improve…

cs.AI2026

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

Hanrong Zhang, Shicheng Fan, Henry Peng Zou +12

Anthropic proposes the concept of skills for LLM agents to tackle multi-step professional tasks that simple tool invocations cannot address. A tool is a single, self-contained func…

cs.CL2026

Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation

Kening Zheng, Wei-Chieh Huang, Jiahao Huo +9

Mixture-of-Experts (MoE) models exhibit striking performance disparities across languages, yet the internal mechanisms driving these gaps remain poorly understood. In this work, we…