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Yushi Bai
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Longbench: A bilingual, multitask benchmark for long context understanding
Y Bai, X Lv, J Zhang, H Lyu, J Tang, Z Huang, Z Du, X Liu, A Zeng, L Hou, ...
ACL 2024, 2023
369*2023
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
T GLM, A Zeng, B Xu, B Wang, C Zhang, D Yin, D Rojas, G Feng, H Zhao, ...
arXiv preprint arXiv:2406.12793, 2024
364*2024
Benchmarking Foundation Models with Language-Model-as-an-Examiner
Y Bai, J Ying, Y Cao, X Lv, Y He, X Wang, J Yu, K Zeng, Y Xiao, H Lyu, ...
NeurIPS 2023, 2023
1172023
Kola: Carefully benchmarking world knowledge of large language models
J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ...
ICLR 2024, 2023
1162023
Modeling heterogeneous hierarchies with relation-specific hyperbolic cones
Y Bai, Z Ying, H Ren, J Leskovec
NeurIPS 2021, 2021
702021
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Y Bai, X Lv, J Li, L Hou
ICML 2023, 2023
41*2023
Longalign: A recipe for long context alignment of large language models
Y Bai, X Lv, J Zhang, Y He, J Qi, L Hou, J Tang, Y Dong, J Li
Findings of EMNLP 2024, 2024
35*2024
TBench: Benchmarking Current Progress in Text-to-3D Generation
Y He, Y Bai, M Lin, W Zhao, Y Hu, J Sheng, R Yi, J Li, YJ Liu
arXiv preprint arXiv:2310.02977, 2023
302023
Large language models can be good privacy protection learners
Y Xiao, Y Jin, Y Bai, Y Wu, X Yang, X Luo, W Yu, X Zhao, Y Liu, H Chen, ...
EMNLP 2024, 2023
24*2023
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
Y Bai, X Lv, J Li, L Hou, Y Qu, Z Dai, F Xiong
EMNLP 2022, 2022
242022
Cogcom: Train large vision-language models diving into details through chain of manipulations
J Qi, M Ding, W Wang, Y Bai, Q Lv, W Hong, B Xu, L Hou, J Li, Y Dong, ...
ICLR 2025, 2024
202024
Fair allocations for smoothed utilities
Y Bai, U Feige, P Gölz, AD Procaccia
Proceedings of the 23rd ACM Conference on Economics and Computation, 436-465, 2022
172022
Longwriter: Unleashing 10,000+ word generation from long context llms
Y Bai, J Zhang, X Lv, L Zheng, S Zhu, L Hou, Y Dong, J Tang, J Li
ICLR 2025, 2024
15*2024
Envy-free and pareto-optimal allocations for agents with asymmetric random valuations
Y Bai, P Gölz
IJCAI 2022, 2021
152021
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
S Tu, Y Sun, Y Bai, J Yu, L Hou, J Li
ACL 2024, 2023
142023
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA
J Zhang, Y Bai, X Lv, W Gu, D Liu, M Zou, S Cao, L Hou, Y Dong, L Feng, ...
arXiv preprint arXiv:2409.02897, 2024
72024
Finding Safety Neurons in Large Language Models
J Chen, X Wang, Z Yao, Y Bai, L Hou, J Li
arXiv preprint arXiv:2406.14144, 2024
62024
Automating dataset updates towards reliable and timely evaluation of large language models
J Ying, Y Cao, Y Bai, Q Sun, B Wang, W Tang, Z Ding, Y Yang, X Huang, ...
NeurIPS 2024, 2024
6*2024
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification
K Sun*, Y Bai*, J Qi, L Hou, J Li
Findings of EMNLP 2024, 2024
32024
LongBench v2: Towards deeper understanding and reasoning on realistic long-context multitasks
Y Bai, S Tu, J Zhang, H Peng, X Wang, X Lv, S Cao, J Xu, L Hou, Y Dong, ...
arXiv preprint arXiv:2412.15204, 2024
22024
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