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Cunxiang Wang
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2020 – today
- 2024
- [j1]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [c16]Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao:
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. EMNLP 2024: 1640-1670 - [c15]Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu:
LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. EMNLP (Findings) 2024: 4852-4872 - [c14]Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu:
Knowledge Conflicts for LLMs: A Survey. EMNLP 2024: 8541-8565 - [c13]Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang:
Nash CoT: Multi-Path Inference with Preference Equilibrium. EMNLP 2024: 14572-14587 - [c12]Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR 2024 - [i23]Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong:
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. CoRR abs/2402.13514 (2024) - [i22]Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang:
SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. CoRR abs/2402.14851 (2024) - [i21]Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang:
LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR abs/2402.16048 (2024) - [i20]Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu:
Knowledge Conflicts for LLMs: A Survey. CoRR abs/2403.08319 (2024) - [i19]Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang:
NovelQA: A Benchmark for Long-Range Novel Question Answering. CoRR abs/2403.12766 (2024) - [i18]Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao:
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. CoRR abs/2406.12975 (2024) - [i17]Ziqi Zhang, Cunxiang Wang, Xiong Xiao, Yue Zhang, Donglin Wang:
Nash CoT: Multi-Path Inference with Preference Equilibrium. CoRR abs/2407.07099 (2024) - [i16]Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR abs/2408.08067 (2024) - [i15]Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu:
Long2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. CoRR abs/2410.23000 (2024) - 2023
- [c11]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang:
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) 2023: 2083-2096 - [c10]Cunxiang Wang, Haofei Yu, Yue Zhang:
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. ACL (Findings) 2023: 2473-2481 - [c9]Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi:
TRAMS: Training-free Memory Selection for Long-range Language Modeling. EMNLP (Findings) 2023: 4966-4972 - [c8]Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang:
Evaluating Open-QA Evaluation. NeurIPS 2023 - [c7]Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang:
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. NLPCC (2) 2023: 444-456 - [i14]Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang:
Evaluating Open Question Answering Evaluation. CoRR abs/2305.12421 (2023) - [i13]Cunxiang Wang, Haofei Yu, Yue Zhang:
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2305.17041 (2023) - [i12]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang:
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR abs/2305.17050 (2023) - [i11]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - [i10]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i9]Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang:
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i8]Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi:
TRAMS: Training-free Memory Selection for Long-range Language Modeling. CoRR abs/2310.15494 (2023) - 2022
- [i7]Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang:
On Effectively Learning of Knowledge in Continual Pre-training. CoRR abs/2204.07994 (2022) - 2021
- [c6]Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL/IJCNLP (1) 2021: 3241-3251 - [c5]Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang:
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. NLPCC (1) 2021: 758-769 - [i6]Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? CoRR abs/2106.01561 (2021) - [i5]Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang:
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. CoRR abs/2108.06743 (2021) - 2020
- [c4]Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. SemEval@COLING 2020: 307-321 - [i4]Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang:
SemEval-2020 Task 4: Commonsense Validation and Explanation. CoRR abs/2007.00236 (2020) - [i3]Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang:
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? CoRR abs/2008.05925 (2020)
2010 – 2019
- 2019
- [c3]Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. ACL (1) 2019: 4020-4026 - [c2]Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxu Zhao, Tian Xie, Yue Zhang:
Domain Representation for Knowledge Graph Embedding. NLPCC (1) 2019: 197-210 - [i2]Cunxiang Wang, Yue Zhang, Feiliang Ren, Chenxu Zhao, Zhichao Lin, Tian Xie:
Domain Representation for Knowledge Graph Embedding. CoRR abs/1903.10716 (2019) - [i1]Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao:
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. CoRR abs/1906.00363 (2019) - 2017
- [c1]Feiliang Ren, Rongsheng Zhao, Xiao Hu, Yongcheng Li, Di Zhou, Cunxiang Wang:
Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification. CCKS 2017: 104-116
Coauthor Index
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