Xinyi Wang - RankMe

43 papers A* 9A 2B 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Disentangling Memory and Reasoning Ability in Large Language Models. ACL (1) Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang
2025	J	`jnl`	Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. CoRR Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen
2025	J	`jnl`	From Atomic to Composite: Reinforcement Learning Enables Generalization in Complementary Reasoning. CoRR Sitao Cheng, Xunjian Yin, Ruiwen Zhou, Yuxuan Li, Xinyi Wang, Liangming Pan, William Yang Wang, Victor Zhong
2025	A*	`conf`	Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. ICLR Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
2025	—	`conf`	Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement. ACL (1) Xunjian Yin, Xinyi Wang, Liangming Pan, Li Lin, Xiaojun Wan, William Yang Wang
2025	J	`jnl`	LEDOM: An Open and Fundamental Reverse Language Model. CoRR Xunjian Yin, Sitao Cheng, Yuxi Xie, Xinyu Hu, Li Lin, Xinyi Wang, Liangming Pan, William Yang Wang, Xiaojun Wan
2024	J	`jnl`	A Survey on Data Selection for Language Models. CoRR Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	J	`jnl`	A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
2024	J	`jnl`	Automatically Correcting Large Language Models: Trans. Assoc. Comput. Linguistics Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2024	J	`jnl`	Disentangling Memory and Reasoning Ability in Large Language Models. CoRR Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang
2024	J	`jnl`	Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. CoRR Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
2024	J	`jnl`	Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement. CoRR Xunjian Yin, Xinyi Wang, Liangming Pan, Xiaojun Wan, William Yang Wang
2024	A*	`conf`	Position: AI/ML Influencers Have a Place in the Academic Process. ICML Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang
2024	A*	`conf`	T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. NeurIPS Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
2024	J	`jnl`	T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. CoRR Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
2024	A*	`conf`	Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. ICML Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
2024	J	`jnl`	Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models. CoRR Sitao Cheng, Liangming Pan, Xunjian Yin, Xinyi Wang, William Yang Wang
2024	J	`jnl`	Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
2023	J	`jnl`	Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2023	A*	`conf`	Causal Balancing for Domain Generalization. ICLR Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
2023	A*	`conf`	Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. EMNLP Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang
2023	J	`jnl`	Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2023	J	`jnl`	Guiding Language Model Reasoning with Planning Tokens. CoRR Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
2023	J	`jnl`	Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. CoRR Xinyi Wang, Wanrong Zhu, William Yang Wang
2023	A*	`conf`	Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
2023	—	`conf`	Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. EMNLP (Findings) Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
2023	J	`jnl`	Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang
2023	A	`conf`	PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. EACL Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang
2023	J	`jnl`	Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. Trans. Mach. Learn. Res. Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
2023	A*	`conf`	TheoremQA: A Theorem-driven Question Answering Dataset. EMNLP Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia
2023	J	`jnl`	TheoremQA: A Theorem-driven Question Answering dataset. CoRR Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia
2022	J	`jnl`	Causal Balancing for Domain Generalization. CoRR Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
2022	J	`jnl`	Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
2021	—	`conf`	A Dataset for Answering Time-Sensitive Questions. NeurIPS Datasets and Benchmarks Wenhu Chen, Xinyi Wang, William Yang Wang
2021	J	`jnl`	A Dataset for Answering Time-Sensitive Questions. CoRR Wenhu Chen, Xinyi Wang, William Yang Wang
2021	J	`jnl`	Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. CoRR Michael Saxon, Xinyi Wang, William Yang Wang
2021	A*	`conf`	Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
2021	J	`jnl`	Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
2021	J	`jnl`	Dimensions of Transparency in NLP Applications. CoRR Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
2021	—	`conf`	Modeling Disclosive Transparency in NLP Application Descriptions. EMNLP (1) Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang
2021	B	`conf`	RefBERT: Compressing BERT by Referencing to Pre-computed Representations. IJCNN Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
2021	J	`jnl`	RefBERT: Compressing BERT by Referencing to Pre-computed Representations. CoRR Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
2020	A	`conf`	Neural Topic Model with Attention for Supervised Learning. AISTATS Xinyi Wang, Yi Yang