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2020 – today
- 2024
[c15]Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun:
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. ACL (1) 2024: 3828-3850- [c14]Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun:
ınftyBench: Extending Long Context Evaluation Beyond 100K Tokens. ACL (1) 2024: 15262-15277 - [c13]Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Predicting Emergent Abilities with Infinite Resolution Evaluation. ICLR 2024 - [i25]Chenyang Song, Xu Han, Zhengyan Zhang, Shengding Hu, Xiyu Shi, Kuai Li, Chen Chen, Zhiyuan Liu, Guangli Li, Tao Yang, Maosong Sun:
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models. CoRR abs/2402.13516 (2024) - [i24]Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun:
∞Bench: Extending Long Context Evaluation Beyond 100K Tokens. CoRR abs/2402.13718 (2024) - [i23]Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun:
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. CoRR abs/2402.14008 (2024) - [i22]Yufei Huang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun:
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition. CoRR abs/2402.15175 (2024) - [i21]Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. CoRR abs/2404.06395 (2024) - [i20]Chaoqun He, Renjie Luo, Shengding Hu, Yuanqian Zhao, Jie Zhou, Hanghao Wu, Jiajie Zhang, Xu Han, Zhiyuan Liu, Maosong Sun:
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. CoRR abs/2404.07584 (2024) - [i19]Zhili Cheng, Zhitong Wang, Jinyi Hu, Shengding Hu, An Liu, Yuge Tu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun:
LEGENT: Open Platform for Embodied Agents. CoRR abs/2404.18243 (2024) - [i18]Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu:
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models. CoRR abs/2406.15718 (2024) - [i17]Junhao Chen, Shengding Hu, Zhiyuan Liu, Maosong Sun:
States Hidden in Hidden States: LLMs Emerge Discrete State Representations Implicitly. CoRR abs/2407.11421 (2024) - [i16]Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, Qianyu Chen, Huarong Zhou, Zhensheng Zou, Haoye Zhang, Shengding Hu, Zhi Zheng, Jie Zhou, Jie Cai, Xu Han, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM-V: A GPT-4V Level MLLM on Your Phone. CoRR abs/2408.01800 (2024) - 2023
- [j2]Ning Ding
, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5(3): 220-235 (2023) - [c12]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. ACL (demo) 2023: 274-281 - [c11]Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. ACL (1) 2023: 5626-5643 - [c10]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. ACL (1) 2023: 15428-15444 - [c9]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. EMNLP 2023: 3029-3051 - [c8]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun:
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 2023: 15062-15078 - [i15]Zihao Fu, Wai Lam, Qian Yu, Anthony Man-Cho So, Shengding Hu, Zhiyuan Liu, Nigel Collier:
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder. CoRR abs/2304.04052 (2023) - [i14]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. CoRR abs/2304.08354 (2023) - [i13]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. CoRR abs/2305.14233 (2023) - [i12]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. CoRR abs/2305.19500 (2023) - [i11]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun:
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. CoRR abs/2306.02320 (2023) - [i10]Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu, Maosong Sun:
Won't Get Fooled Again: Answering Questions with False Premises. CoRR abs/2307.02394 (2023) - [i9]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. CoRR abs/2307.03084 (2023) - [i8]Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Unlock Predictable Scaling from Emergent Abilities. CoRR abs/2310.03262 (2023) - 2022
- [c7]Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. ACL (demo) 2022: 105-113 - [c6]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL (1) 2022: 2225-2240 - [c5]Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu:
Prototypical Verbalizer for Prompt-based Few-shot Tuning. ACL (1) 2022: 7014-7024 - [c4]Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu:
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. EMNLP 2022: 5015-5035 - [c3]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Delta Tuning. NeurIPS 2022 - [i7]Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun:
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR abs/2203.06904 (2022) - [i6]Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu:
Prototypical Verbalizer for Prompt-based Few-shot Tuning. CoRR abs/2203.09770 (2022) - [i5]Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun:
Sparse Structure Search for Parameter-Efficient Tuning. CoRR abs/2206.07382 (2022) - [i4]Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu:
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. CoRR abs/2211.04079 (2022) - 2021
- [c2]Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun:
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. ACL/IJCNLP (Findings) 2021: 1751-1763 - [i3]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Juanzi Li, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. CoRR abs/2108.02035 (2021) - [i2]Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
OpenPrompt: An Open-source Framework for Prompt-learning. CoRR abs/2111.01998 (2021) - 2020
- [j1]Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun:
Graph neural networks: A review of methods and applications. AI Open 1: 57-81 (2020) - [c1]Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang:
Graph Policy Network for Transferable Active Learning on Graphs. NeurIPS 2020 - [i1]Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang:
Graph Policy Network for Transferable Active Learning on Graphs. CoRR abs/2006.13463 (2020)
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last updated on 2024-11-08 20:32 CET by the dblp team
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