Unified hierarchical iterate model of human conceptualization and cognition. - Jiayu Zhou; Lifeng Jin; Sherwin Han (IEEE ICCI, 2009)

Number in Chinese: A Corpus-Based Computational Investigation. - Lifeng Jin; Mao Ye; Yunlan Fu (CLSW, 2013)

Sentences Extraction from Digital Publication for Domain-Specific Knowledge Service. - Mao Ye; Lifeng Jin; Zhi Tang 001; Jianbo Xu (HCI (26), 2014)

A Semantic Recommender System for Learning Based on Encyclopedia of Digital Publication. - Mao Ye; Lifeng Jin; Zhi Tang 001; Jianbo Xu (HCI (27), 2014)

The Overall Markedness of Discourse Relations. - Lifeng Jin; Marie-Catherine de Marneffe (EMNLP, 2015)

A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts. - Lifeng Jin; William Schuler (HLT-NAACL, 2015)

AZMAT: Sentence Similarity Using Associative Matrices. - Evan Jaffe; Lifeng Jin; David King; Marten van Schijndel (SemEval@NAACL-HLT, 2015)

Recommender System for E-Learning Based on Semantic Relatedness of Concepts. - Mao Ye; Zhi Tang 001; Jianbo Xu; Lifeng Jin (Inf., 2015)

Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input. - Cory Shain; William Bryce; Lifeng Jin; Victoria Krakovna; Finale Doshi-Velez; Timothy Miller 002; William Schuler; Lane Schwartz (COLING, 2016)

OSU_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar. - Manjuan Duan; Lifeng Jin; William Schuler (SemEval@NAACL-HLT, 2016)

OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser. - Lifeng Jin; Manjuan Duan; William Schuler (SemEval@NAACL-HLT, 2016)

Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System. - Lifeng Jin; Michael White 001; Evan Jaffe; Laura Zimmerman; Douglas Danforth (BEA@EMNLP, 2017)

Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System. - Lifeng Jin; David King; Amad Hussein; Michael White 001; Douglas Danforth (BEA@NAACL-HLT, 2018)

Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction. - Lifeng Jin; Finale Doshi-Velez; Timothy Miller 002; William Schuler; Lane Schwartz (EMNLP, 2018)

Unsupervised Grammar Induction with Depth-bounded PCFG. - Lifeng Jin; Finale Doshi-Velez; Timothy Miller 002; William Schuler; Lane Schwartz (Trans. Assoc. Comput. Linguistics, 2018)

Unsupervised Learning of PCFGs with Normalizing Flow. - Lifeng Jin; Finale Doshi-Velez; Timothy Miller 002; Lane Schwartz; William Schuler (ACL (1), 2019)

Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction. - Lifeng Jin; William Schuler (ACL (1), 2019)

Design and Analysis of Radiometric Calibration Mission in-orbit for Environment and Disasters Monitoring Satellite. - Yang Zhu; Dexin Sun; Xuebin Liu; Lifeng Jin; Jun Zhu; Zhaoguang Bai; Jun Dong; Bin Wu; Min Huang; Huan Yin; Qipeng Cao; Jin Hong (IGARSS, 2019)

Relation Extraction Exploiting Full Dependency Forests. - Lifeng Jin; Linfeng Song; Yue Zhang 004; Kun Xu 005; Wei-Yun Ma; Dong Yu 001 (AAAI, 2020)

Grounded PCFG Induction with Images. - Lifeng Jin; William Schuler (AACL/IJCNLP, 2020)

Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction. - Lifeng Jin; William Schuler (IWPT 2020, 2020)

The Importance of Category Labels in Grammar Induction with Child-directed Utterances. - Lifeng Jin; William Schuler (IWPT 2020, 2020)

Domain-Adaptive Pretraining Methods for Dialogue Understanding. - Han Wu 004; Kun Xu 005; Linfeng Song; Lifeng Jin; Haisong Zhang; Linqi Song (ACL/IJCNLP (2), 2021)

Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages. - Lifeng Jin; Byung-Doh Oh; William Schuler (EMNLP (Findings), 2021)

Instance-adaptive training with noise-robust losses against noisy labels. - Lifeng Jin; Linfeng Song; Kun Xu 005; Dong Yu 001 (EMNLP (1), 2021)

Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. - Wenlin Yao; Xiaoman Pan; Lifeng Jin; Jianshu Chen; Dian Yu 001; Dong Yu 001 (EMNLP (1), 2021)

Video-aided Unsupervised Grammar Induction. - Songyang Zhang; Linfeng Song; Lifeng Jin; Kun Xu 005; Dong Yu 001; Jiebo Luo 001 (NAACL-HLT, 2021)

Distant Finetuning with Discourse Relations for Stance Classification. - Lifeng Jin; Kun Xu 005; Linfeng Song; Dong Yu 001 (NLPCC (2), 2021)

Sunway supercomputer architecture towards exascale computing: analysis and practice. - Jiangang Gao; Fang Zheng 015; Fengbin Qi; Yajun Ding; Hongliang Li; Hongsheng Lu; Wangquan He; Hongmei Wei; Lifeng Jin; Xin Liu; Daoyong Gong; Fei Wang; et al. (Sci. China Inf. Sci., 2021)

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition. - Lifeng Jin; Lane Schwartz; Finale Doshi-Velez; Timothy Miller 002; William Schuler (Comput. Linguistics, 2021)

Hierarchical Context Tagging for Utterance Rewriting. - Lisa Jin; Linfeng Song; Lifeng Jin; Dong Yu 001; Daniel Gildea (AAAI, 2022)

Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup. - Peng Shi 010; Linfeng Song; Lifeng Jin; Haitao Mi; He Bai 002; Jimmy Lin; Dong Yu 001 (EMNLP (Findings), 2022)

Dynamic Augmentation Data Selection for Few-shot Text Classification. - Guangliang Liu; Lifeng Jin; Owen Yuan; Jiayu Zhou (EMNLP (Findings), 2022)

Salience Allocation as Guidance for Abstractive Summarization. - Fei Wang 060; Kaiqiang Song; Hongming Zhang 009; Lifeng Jin; Sangwoo Cho; Wenlin Yao; Xiaoyang Wang; Muhao Chen 001; Dong Yu 001 (EMNLP, 2022)

Learning a Grammar Inducer from Massive Uncurated Instructional Videos. - Songyang Zhang; Linfeng Song; Lifeng Jin; Haitao Mi; Kun Xu 005; Dong Yu 001; Jiebo Luo 001 (EMNLP, 2022)

Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing. - Wenyue Hua; Lifeng Jin; Linfeng Song; Haitao Mi; Yongfeng Zhang; Dong Yu 001 (CoRR, 2022)

Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training. - Sai Ashish Somayajula; Lifeng Jin; Linfeng Song; Haitao Mi; Dong Yu 001 (ACL (Findings), 2023)

SafeConv: Explaining and Correcting Conversational Unsafe Behavior. - Mian Zhang; Lifeng Jin; Linfeng Song; Haitao Mi; Wenliang Chen; Dong Yu 001 (ACL (1), 2023)

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. - Wenlin Yao; Lifeng Jin; Hongming Zhang 009; Xiaoman Pan; Kaiqiang Song; Dian Yu 001; Dong Yu 001; Jianshu Chen (EACL, 2023)

Friend-training: Learning from Models of Different but Related Tasks. - Mian Zhang; Lifeng Jin; Linfeng Song; Haitao Mi; Xiabing Zhou; Dong Yu 001 (EACL, 2023)

Stabilizing RLHF through Advantage Model and Selective Rehearsal. - Baolin Peng; Linfeng Song; Ye Tian; Lifeng Jin; Haitao Mi; Dong Yu 001 (CoRR, 2023)

The Trickle-down Impact of Reward (In-)consistency on RLHF. - Lingfeng Shen; Sihao Chen; Linfeng Song; Lifeng Jin; Baolin Peng; Haitao Mi; Daniel Khashabi; Dong Yu 001 (CoRR, 2023)

TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs. - Shuyi Xie; Wenlin Yao; Yong Dai 001; Shaobo Wang; Donlin Zhou; Lifeng Jin; Xinhua Feng; Pengzhi Wei; Yujie Lin; Zhichao Hu; Dong Yu 001; Zhengyou Zhang; et al. (CoRR, 2023)

Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing. - Wenyue Hua; Lifeng Jin; Linfeng Song; Haitao Mi; Yongfeng Zhang; Dong Yu 001 (Trans. Assoc. Comput. Linguistics, 2023)

OpenFact: Factuality Enhanced Open Knowledge Extraction. - Linfeng Song; Ante Wang; Xiaoman Pan; Hongming Zhang 009; Dian Yu 001; Lifeng Jin; Haitao Mi; Jinsong Su; Yue Zhang 004; Dong Yu 001 (Trans. Assoc. Comput. Linguistics, 2023)

D$^{2}$PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation. - Ante Wang; Linfeng Song; Lifeng Jin; Junfeng Yao; Haitao Mi; Chen Lin 001; Jinsong Su; Dong Yu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Improving LLM Generations via Fine-Grained Self-Endorsement. - Ante Wang; Linfeng Song; Baolin Peng; Lifeng Jin; Ye Tian; Haitao Mi; Jinsong Su; Dong Yu 001 (ACL (Findings), 2024)

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. - Xiaoying Zhang; Baolin Peng; Ye Tian; Jingyan Zhou; Lifeng Jin; Linfeng Song; Haitao Mi; Helen Meng (ACL (1), 2024)

A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation. - Xiangci Li; Linfeng Song; Lifeng Jin; Haitao Mi; Jessica Ouyang 001; Dong Yu 001 (LREC/COLING, 2024)

Inconsistent dialogue responses and how to recover from them. - Mian Zhang; Lifeng Jin; Linfeng Song; Haitao Mi; Dong Yu 001 (EACL (Findings), 2024)

Self-Consistency Boosts Calibration for Math Reasoning. - Ante Wang; Linfeng Song; Ye Tian; Baolin Peng; Lifeng Jin; Haitao Mi; Jinsong Su; Dong Yu (EMNLP (Findings), 2024)

The Trickle-down Impact of Reward Inconsistency on RLHF. - Lingfeng Shen; Sihao Chen; Linfeng Song; Lifeng Jin; Baolin Peng; Haitao Mi; Daniel Khashabi; Dong Yu 001 (ICLR, 2024)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing. - Ye Tian; Baolin Peng; Linfeng Song; Lifeng Jin; Dian Yu 001; Lei Han; Haitao Mi; Dong Yu 001 (NeurIPS, 2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning. - Ante Wang; Linfeng Song; Baolin Peng; Ye Tian; Lifeng Jin; Haitao Mi; Jinsong Su; Dong Yu 001 (CoRR, 2024)

Collaborative decoding of critical tokens for boosting factuality of large language models. - Lifeng Jin; Baolin Peng; Linfeng Song; Haitao Mi; Ye Tian; Dong Yu 001 (CoRR, 2024)

Self-Consistency Boosts Calibration for Math Reasoning. - Ante Wang; Linfeng Song; Ye Tian; Baolin Peng; Lifeng Jin; Haitao Mi; Jinsong Su; Dong Yu 001 (CoRR, 2024)

Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. - Souvik Das; Lifeng Jin; Linfeng Song; Haitao Mi; Baolin Peng; Dong Yu 001 (CoRR, 2024)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing. - Ye Tian; Baolin Peng; Linfeng Song; Lifeng Jin; Dian Yu 001; Haitao Mi; Dong Yu 001 (CoRR, 2024)

A randomized prospective study of a hybrid rule- and data-driven virtual patient. - Adam Stiff; Michael White 001; Eric Fosler-Lussier; Lifeng Jin; Evan Jaffe; Douglas Danforth (Nat. Lang. Eng., 2024)

MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs. - Kaustubh Deshpande; Ved Sirdeshmukh; Johannes Baptist Mols; Lifeng Jin; Ed-Yeremai Hernandez-Cardona; Dean Lee; Jeremy Kritz; Willow E. Primack; Summer Yue; Chen Xing (ACL (Findings), 2025)

Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. - Souvik Das; Lifeng Jin; Linfeng Song; Haitao Mi; Baolin Peng; Dong Yu (COLING, 2025)