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cs.LG2026
Multi-Rollout On-Policy Distillation via Peer Successes and Failures
Weichen Yu, Xiaomin Li, Yizhou Zhao +8
Large language models are often post-trained with sparse verifier rewards, which indicate whether a sampled trajectory succeeds but provide limited guidance about where reasoning s…
cs.LG2025
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
Ching Chang, Jeehyun Hwang, Yidan Shi +4
Time series data in real-world applications such as healthcare, climate modeling, and finance are often irregular, multimodal, and messy, with varying sampling rates, asynchronous…