Automatic Detection of Nodules in Legumes by Imagery in a Phenotyping Context. - Simeng Han; Frédéric Cointault; Christophe Salon; Jean-Claude Simon (CAIP (2), 2015)

Hierarchical Pointer Net Parsing. - Linlin Liu; Xiang Lin; Shafiq R. Joty; Simeng Han; Lidong Bing (EMNLP/IJCNLP (1), 2019)

Resurrecting Submodularity in Neural Abstractive Summarization. - Simeng Han; Xiang Lin; Shafiq R. Joty (CoRR, 2019)

Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation. - Xiang Lin; Simeng Han; Shafiq R. Joty (ICML, 2021)

Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. - Alexander R. Fabbri; Simeng Han; Haoyuan Li; Haoran Li 007; Marjan Ghazvininejad; Shafiq R. Joty; Dragomir R. Radev; Yashar Mehdad (NAACL-HLT, 2021)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 2022)

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. - Divyansh Agarwal; Alexander R. Fabbri; Simeng Han; Wojciech Kryscinski; Faisal Ladhak; Bryan Li; Kathleen R. McKeown; Dragomir Radev; Tianyi Zhang; Sam Wiseman (CoRR, 2022)

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Yixin Liu 003; Alexander R. Fabbri; Pengfei Liu 003; Yilun Zhao 001; Linyong Nan; Ruilin Han; Simeng Han; Shafiq Joty; Chien-Sheng Wu; Caiming Xiong; Dragomir Radev (ACL (1), 2023)

QTSumm: Query-Focused Summarization over Tabular Data. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Ruizhe Chen; Xiangru Tang; Yumo Xu; Dragomir Radev; Arman Cohan (EMNLP, 2023)

QTSumm: A New Benchmark for Query-Focused Table Summarization. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Xiangru Tang; Yumo Xu; Arman Cohan; Dragomir Radev (CoRR, 2023)

Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. - Yongqi Tong; Yifan Wang; Dawei Li; Sizhe Wang; Zi Lin; Simeng Han; Jingbo Shang (CoRR, 2023)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. - Simeng Han; Aaron Yu; Rui Shen; Zhenting Qi; Martin Riddell; Wenfei Zhou; Yujie Qiao; Yilun Zhao 001; Semih Yavuz; Ye Liu 006; Shafiq Joty; Yingbo Zhou; et al. (EMNLP (Findings), 2024)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. - Yixin Liu 003; Alexander R. Fabbri; Jiawen Chen; Yilun Zhao 001; Simeng Han; Shafiq Joty; Pengfei Liu 003; Dragomir Radev; Chien-Sheng Wu; Arman Cohan (NAACL-HLT (Findings), 2024)

Optimizing Language Model's Reasoning Abilities with Weak Supervision. - Yongqi Tong; Sizhe Wang; Dawei Li; Yifan Wang; Simeng Han; Zi Lin; Chengsong Huang; Jiaxin Huang 001; Jingbo Shang (CoRR, 2024)

MetaMath: Integrating Natural Language and Code for Enhanced Mathematical Reasoning in Large Language Models. - Xuyuan Xiong; Simeng Han; Ziyue Zhou; Arman Cohan (CoRR, 2024)

Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems. - Stephen Miner; Yoshiki Takashima; Simeng Han; Ferhat Erata; Timos Antonopoulos; Ruzica Piskac; Scott J. Shapiro (CoRR, 2024)

GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning. - Jiale Fu; Yaqing Wang; Simeng Han; Jiaming Fan; Chen Si 005; Xu Yang (CoRR, 2024)

ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models. - Simeng Han; Frank Palma Gomez; Tu Vu; Zefei Li; Daniel Cer; Hansi Zeng; Chris Tar; Arman Cohan; Gustavo Hernández Ábrego (CoRR, 2025)

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models. - Yuan Sui; Yufei He; Tri Cao; Simeng Han; Bryan Hooi (CoRR, 2025)

Towards Artificial Intelligence Research Assistant for Expert-Involved Learning. - Tianyu Liu 001; Simeng Han; Xiao Luo 001; Hanchen Wang 002; Pan Lu; Biqing Zhu; Yuge Wang; Keyi Li; Jiapeng Chen; Rihao Qu; Yufeng Liu; Xinyue Cui; et al. (CoRR, 2025)

Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models. - Simeng Han; Stephen Xia; Grant Zhang; Howard Dai; Chen Liu; Lichang Chen; Hoang Huy Nguyen; Hongyuan Mei; Jiayuan Mao; R. Thomas McCoy (CoRR, 2025)

Learning to Reason via Mixture-of-Thought for Logical Reasoning. - Tong Zheng; Lichang Chen; Simeng Han; R. Thomas McCoy; Heng Huang (CoRR, 2025)