Ni, Jinjie

9 publications

ICLR 2025 MixEval-X: Any-to-Any Evaluations from Real-World Data Mixture Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh

NeurIPS 2025 NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation Xiangyan Liu, Jinjie Ni, Zijian Wu, Chao Du, Longxu Dou, Haonan Wang, Tianyu Pang, Michael Qizhe Shieh

ICML 2025 RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh

ICML 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

ICLRW 2025 Unnatural Languages Are Not Bugs but Features for LLMs Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh

NeurIPS 2024 MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

ICML 2024 OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You

AAAI 2022 Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

AAAI 2022 HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria