Peiyi Wang
Peiyi Wang
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Large Language Models are not Fair Evaluators
P Wang, L Li, L Chen, D Zhu, B Lin, Y Cao, Q Liu, T Liu, Z Sui
ACL2024, 2023
Deepseek llm: Scaling open-source language models with longtermism
X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong, Q Du, ...
arXiv preprint arXiv:2401.02954, 2024
MIT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
L Li, Y Yin, S Li, L Chen, P Wang, S Ren, M Li, Y Yang, J Xu, X Sun, ...
arXiv preprint arXiv:2306.04387, 2023
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Z Wang, P Wang, L Huang, X Sun, H Wang
ACL2022, 2022
An enhanced span-based decomposition method for few-shot sequence labeling
P Wang, R Xu, T Liu, Q Zhou, Y Cao, B Chang, Z Sui
NAACL2022, 2021
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Z Shao, P Wang, Q Zhu, R Xu, J Song, M Zhang, YK Li, Y Wu, D Guo
arXiv preprint arXiv:2402.03300, 2024
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
P Wang, L Li, Z Shao, RX Xu, D Dai, Y Li, D Chen, Y Wu, Z Sui
ACL2024, 2023
Making large language models better reasoners with alignment
P Wang, L Li, L Chen, F Song, B Lin, Y Cao, T Liu, Z Sui
arXiv preprint arXiv:2309.02144, 2023
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
R Xu, P Wang, T Liu, S Zeng, B Chang, Z Sui
NAACL2022, 2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Z Wang, P Wang, T Liu, Y Cao, Z Sui, H Wang
EMNLP2022, 2022
Speculative decoding: Exploiting speculative execution for accelerating seq2seq generation
H Xia, T Ge, P Wang, SQ Chen, F Wei, Z Sui
Findings of the Association for Computational Linguistics: EMNLP 2023, 3909-3925, 2023
First target and opinion then polarity: Enhancing target-opinion correlation for aspect sentiment triplet extraction
L Huang, P Wang, S Li, T Liu, X Zhang, Z Cheng, D Yin, H Wang
arXiv preprint arXiv:2102.08549, 2021
Silkie: Preference distillation for large visual language models
L Li, Z Xie, M Li, S Chen, P Wang, L Chen, Y Yang, B Wang, L Kong
arXiv preprint arXiv:2312.10665, 2023
Unlocking efficiency in large language model inference: A comprehensive survey of speculative decoding
H Xia, Z Yang, Q Dong, P Wang, Y Li, T Ge, T Liu, W Li, Z Sui
Findings of ACL2024, 2024
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
L Chen, Y Zhang, S Ren, H Zhao, Z Cai, Y Wang, P Wang, X Meng, T Liu, ...
Findings of ACL2024, 2024
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
P Wang, Y Song, T Liu, B Lin, Y Cao, S Li, Z Sui
EMNLP2022, 2022
Behind the scenes: An exploration of trigger biases problem in few-shot event classification
P Wang, R Xun, T Liu, D Dai, B Chang, Z Sui
CIKM 2021, 1969-1978, 2021
Neural review rating prediction with hierarchical attentions and latent factors
X Wang, H Liu, P Wang, F Wu, H Xu, W Wang, X Xie
Database Systems for Advanced Applications: DASFAA 2019 International …, 2019
Hierarchical curriculum learning for amr parsing
P Wang, L Chen, T Liu, B Chang, Z Sui
ACL2022, 2021
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
L Chen, P Wang, R Xu, T Liu, Z Sui, B Chang
Findings of NAACL2022, 2022
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