Peifeng Wang

According to our database, Peifeng Wang authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

References Improve LLM Alignment in Non-Verifiable Domains.

Kejian Shi, Yixin Liu, Peifeng Wang, Alexander R. Fabbri, Shafiq Joty, Arman Cohan

CoRR, February, 2026

2025

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems.

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

Trans. Mach. Learn. Res., 2025

ReIFE: Re-evaluating Instruction-Following Evaluation.

Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators.

Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Direct Judgement Preference Optimization.

Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models.

Filip Ilievski, Kaixin Ma, Alessandro Oltramari, Peifeng Wang, Jay Pujara

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales.

Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SCOTT: Self-Consistent Chain-of-Thought Distillation.

Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Contextualized Scene Imagination for Generative Commonsense Reasoning.

Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.

Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren

Proceedings of the 9th International Conference on Learning Representations, 2021

Do Language Models Perform Generalizable Commonsense Inference?

Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.

Peifeng Wang, Nanyun Peng, Pedro A. Szekely, Xiang Ren

CoRR, 2020

When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models.

Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering.

Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering.

Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding.

Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Incorporating GAN for Negative Sampling in Knowledge Representation Learning.

Peifeng Wang, Shuangyin Li, Rong Pan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018