Who cites «DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research»
- Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
- Agentic Rubrics as Contextual Verifiers for SWE AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.2026 · 3 citations
- Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
- Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-MakingarXiv:2602.06570Chengfeng Dou, Fan Yang, Fei Li, et al.2026 · 2 citations
- IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
- SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data UtilityAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.2026 · 1 citation
- PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific PapersFindings of the Association for Computational LinguisticsLei Xiong, Huaying Yuan, Zheng Liu, et al.2026
- ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiangyuan Wang, Kejun Xiao, Huaipeng Zhao, et al.2026
- Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhao, Jinbiao Wei, Tingyu Song, et al.2026
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