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cs.AI2026

PreDiff-LM: Pretrained Discrete Masked Diffusion Language Modeling with Hybrid Attention

Zhengtao Yao, Runhao Li, Xupeng Chen +12

The paper presents PreDiff-LM, a discrete masked diffusion language model that retains causal attention on the prompt while applying bidirectional attention within masked targets,…

cs.AI2026

Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization

Zhengtao Yao, Runhao Li, Xupeng Chen +12

Research on preference optimization often varies the training objective while holding the data fixed. We instead ask whether a small, high-confidence set of on-policy responses can…

cs.AI2026

CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents

Qijia He, Jiayi Cheng, Chenqian Le +8

Coding agents increasingly operate in executable environments where a failed attempt produces actionable feedback rather than merely an incorrect answer. Existing cost-aware system…

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +306

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cs.AI2026

FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains

Jiashuo Liu, Siyuan Chen, Zaiyuan Wang +38

Building upon FutureX, which established a live benchmark for general-purpose future prediction, this report introduces FutureX-Pro, including FutureX-Finance, FutureX-Retail, Futu…