Peifeng Wang

32 papers A* 7Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
References Improve LLM Alignment in Non-Verifiable Domains.
CoRR
Kejian Shi, Yixin Liu, Peifeng Wang, Alexander R. Fabbri, Shafiq Joty, Arman Cohan
2025 J jnl
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems.
CoRR
Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, Peifeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty
2025 J jnl
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems.
Trans. Mach. Learn. Res.
Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, Peifeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty
2025 A* conf
Direct Judgement Preference Optimization.
EMNLP
Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
2025 A* conf
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators.
ICML
Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty
2025 J jnl
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators.
CoRR
Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty
2025 — conf
ReIFE: Re-evaluating Instruction-Following Evaluation.
NAACL (Long Papers)
Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan
2024 J jnl
Direct Judgement Preference Optimization.
CoRR
Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
2024 J jnl
ReIFE: Re-evaluating Instruction-Following Evaluation.
CoRR
Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan
2023 — ch.
Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models.
Compendium of Neurosymbolic Artificial Intelligence
Filip Ilievski, Kaixin Ma, Alessandro Oltramari, Peifeng Wang, Jay Pujara
2023 A* conf
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales.
ICLR
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
2023 — conf
SCOTT: Self-Consistent Chain-of-Thought Distillation.
ACL (1)
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
2023 J jnl
SCOTT: Self-Consistent Chain-of-Thought Distillation.
CoRR
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
2022 A* conf
Contextualized Scene Imagination for Generative Commonsense Reasoning.
ICLR
Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
2022 J jnl
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales.
CoRR
Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren
2021 J jnl
Contextualized Scene Imagination for Generative Commonsense Reasoning.
CoRR
Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren
2021 — conf
Do Language Models Perform Generalizable Commonsense Inference?
ACL/IJCNLP (Findings)
Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren
2021 J jnl
Do Language Models Perform Generalizable Commonsense Inference?
CoRR
Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren
2021 A* conf
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
ICLR
Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
2020 — conf
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
EMNLP (Findings)
Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren
2020 J jnl
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.
CoRR
Peifeng Wang, Nanyun Peng, Pedro A. Szekely, Xiang Ren
2020 J jnl
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
CoRR
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
2020 — conf
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.
EMNLP (1)
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
2020 J jnl
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.
CoRR
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren
2020 — conf
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models.
EMNLP (1)
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi
2020 J jnl
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models.
CoRR
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi
2019 A* conf
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding.
AAAI
Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
2018 A* conf
Incorporating GAN for Negative Sampling in Knowledge Representation Learning.
AAAI
Peifeng Wang, Shuangyin Li, Rong Pan
2018 J jnl
Incorporating GAN for Negative Sampling in Knowledge Representation Learning.
CoRR
Peifeng Wang, Shuangyin Li, Rong Pan
2018 J jnl
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding.
CoRR
Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
2012 J jnl
A Unified and Synchronous Generating System for Multiple Natural Languages Based on CFG and Semantic Language.
Int. J. Wavelets Multiresolution Inf. Process.
Li Li, Honglai Liu, Qingshi Gao, Peifeng Wang
2011 J jnl
Giant complete automaton for uncertain multiple string matching and its high speed construction algorithm.
Sci. China Inf. Sci.
Yue Hu, Qingshi Gao, Li Guo, Peifeng Wang