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Zijian Wu · Xiangyan Liu · xinyuan zhang · Lingjun Chen · Fanqing Meng · Lingxiao Du · Yiran Zhao · Fanshi Zhang · Yaoqi Ye · Jiawei Wang · Zirui Wang · Jinjie Ni · Yufan Yang · Arvin Xu · Michael Qizhe Shieh
Yujie Liu · Zonglin Yang · Tong Xie · Jinjie Ni · Ben Gao · Yuqiang Li · SHIXIANG TANG · Wanli Ouyang · Erik Cambria · Dongzhan Zhou
Large language models (LLMs) have shown potential in assisting scientific research, yet their ability to discover high-quality research hypotheses remains unexamined due to the lack of a dedicated benchmark. To address this gap, we introduce the first large-scale benchmark for evaluating LLMs on...
Zijian Wu · Jinjie Ni · Xiangyan Liu · Zichen Liu · Hang Yan · Michael Qizhe Shieh
Vision-language models (VLMs) trained via reinforcement learning with verifiable reward (RLVR) have shown notable progress in scaling test-time compute effectively. In this work, we investigate how synthesized RL data can further improve RLVR. To this end, we propose SynthRL—a scalable and guaran...