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Lifeng Jin
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2020 – today
- 2024
- [j8]Adam Stiff, Michael White, Eric Fosler-Lussier, Lifeng Jin, Evan Jaffe, Douglas Danforth:
A randomized prospective study of a hybrid rule- and data-driven virtual patient. Nat. Lang. Eng. 30(1): 31-72 (2024) - [c40]Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen Meng:
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. ACL (1) 2024: 1946-1965 - [c39]Ante Wang, Linfeng Song, Baolin Peng, Lifeng Jin, Ye Tian, Haitao Mi, Jinsong Su, Dong Yu:
Improving LLM Generations via Fine-Grained Self-Endorsement. ACL (Findings) 2024: 8424-8436 - [c38]Xiangci Li, Linfeng Song, Lifeng Jin, Haitao Mi, Jessica Ouyang, Dong Yu:
A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation. LREC/COLING 2024: 666-676 - [c37]Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Dong Yu:
Inconsistent dialogue responses and how to recover from them. EACL (Findings) 2024: 220-230 - [c36]Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu:
The Trickle-down Impact of Reward Inconsistency on RLHF. ICLR 2024 - [i23]Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Dong Yu:
Inconsistent dialogue responses and how to recover from them. CoRR abs/2401.10353 (2024) - [i22]Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen Meng:
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation. CoRR abs/2402.09267 (2024) - [i21]Ante Wang, Linfeng Song, Baolin Peng, Ye Tian, Lifeng Jin, Haitao Mi, Jinsong Su, Dong Yu:
Fine-Grained Self-Endorsement Improves Factuality and Reasoning. CoRR abs/2402.15631 (2024) - [i20]Lifeng Jin, Baolin Peng, Linfeng Song, Haitao Mi, Ye Tian, Dong Yu:
Collaborative decoding of critical tokens for boosting factuality of large language models. CoRR abs/2402.17982 (2024) - [i19]Xiangci Li, Linfeng Song, Lifeng Jin, Haitao Mi, Jessica Ouyang, Dong Yu:
A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation. CoRR abs/2403.03496 (2024) - [i18]Ante Wang, Linfeng Song, Ye Tian, Baolin Peng, Lifeng Jin, Haitao Mi, Jinsong Su, Dong Yu:
Self-Consistency Boosts Calibration for Math Reasoning. CoRR abs/2403.09849 (2024) - [i17]Souvik Das, Lifeng Jin, Linfeng Song, Haitao Mi, Baolin Peng, Dong Yu:
Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models. CoRR abs/2404.09338 (2024) - [i16]Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Haitao Mi, Dong Yu:
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing. CoRR abs/2404.12253 (2024) - 2023
- [j7]Linfeng Song, Ante Wang, Xiaoman Pan, Hongming Zhang, Dian Yu, Lifeng Jin, Haitao Mi, Jinsong Su, Yue Zhang, Dong Yu:
OpenFact: Factuality Enhanced Open Knowledge Extraction. Trans. Assoc. Comput. Linguistics 11: 686-702 (2023) - [j6]Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu:
Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing. Trans. Assoc. Comput. Linguistics 11: 1537-1552 (2023) - [j5]Ante Wang, Linfeng Song, Lifeng Jin, Junfeng Yao, Haitao Mi, Chen Lin, Jinsong Su, Dong Yu:
D$^{2}$PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 4004-4013 (2023) - [c35]Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Wenliang Chen, Dong Yu:
SafeConv: Explaining and Correcting Conversational Unsafe Behavior. ACL (1) 2023: 22-35 - [c34]Sai Ashish Somayajula, Lifeng Jin, Linfeng Song, Haitao Mi, Dong Yu:
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training. ACL (Findings) 2023: 8569-8588 - [c33]Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, Dong Yu:
Friend-training: Learning from Models of Different but Related Tasks. EACL 2023: 232-247 - [c32]Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen:
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. EACL 2023: 2993-3002 - [i15]Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, Dong Yu:
Friend-training: Learning from Models of Different but Related Tasks. CoRR abs/2301.13683 (2023) - [i14]Baolin Peng, Linfeng Song, Ye Tian, Lifeng Jin, Haitao Mi, Dong Yu:
Stabilizing RLHF through Advantage Model and Selective Rehearsal. CoRR abs/2309.10202 (2023) - [i13]Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu:
The Trickle-down Impact of Reward (In-)consistency on RLHF. CoRR abs/2309.16155 (2023) - [i12]Shuyi Xie, Wenlin Yao, Yong Dai, Shaobo Wang, Donlin Zhou, Lifeng Jin, Xinhua Feng, Pengzhi Wei, Yujie Lin, Zhichao Hu, Dong Yu, Zhengyou Zhang, Jing Nie, Yuhong Liu:
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs. CoRR abs/2311.05374 (2023) - 2022
- [c31]Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea:
Hierarchical Context Tagging for Utterance Rewriting. AAAI 2022: 10849-10857 - [c30]Songyang Zhang, Linfeng Song, Lifeng Jin, Haitao Mi, Kun Xu, Dong Yu, Jiebo Luo:
Learning a Grammar Inducer from Massive Uncurated Instructional Videos. EMNLP 2022: 233-247 - [c29]Guangliang Liu, Lifeng Jin, Owen Yuan, Jiayu Zhou:
Dynamic Augmentation Data Selection for Few-shot Text Classification. EMNLP (Findings) 2022: 4841-4852 - [c28]Peng Shi, Linfeng Song, Lifeng Jin, Haitao Mi, He Bai, Jimmy Lin, Dong Yu:
Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup. EMNLP (Findings) 2022: 5296-5306 - [c27]Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu:
Salience Allocation as Guidance for Abstractive Summarization. EMNLP 2022: 6094-6106 - [i11]Lifeng Jin, Kun Xu, Linfeng Song, Dong Yu:
Distant finetuning with discourse relations for stance classification. CoRR abs/2204.12693 (2022) - [i10]Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea:
Hierarchical Context Tagging for Utterance Rewriting. CoRR abs/2206.11218 (2022) - [i9]Songyang Zhang, Linfeng Song, Lifeng Jin, Haitao Mi, Kun Xu, Dong Yu, Jiebo Luo:
Learning a Grammar Inducer from Massive Uncurated Instructional Videos. CoRR abs/2210.12309 (2022) - [i8]Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu:
Salience Allocation as Guidance for Abstractive Summarization. CoRR abs/2210.12330 (2022) - [i7]Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu:
Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing. CoRR abs/2211.04476 (2022) - 2021
- [j4]Jiangang Gao, Fang Zheng, Fengbin Qi, Yajun Ding, Hongliang Li, Hongsheng Lu, Wangquan He, Hongmei Wei, Lifeng Jin, Xin Liu, Daoyong Gong, Fei Wang, Yan Zheng, Honghui Sun, Zhou Zhou, Yong Liu, Hongtao You:
Sunway supercomputer architecture towards exascale computing: analysis and practice. Sci. China Inf. Sci. 64(4) (2021) - [j3]Lifeng Jin, Lane Schwartz, Finale Doshi-Velez, Timothy A. Miller, William Schuler:
Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition. Comput. Linguistics 47(1): 181-216 (2021) - [c26]Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song:
Domain-Adaptive Pretraining Methods for Dialogue Understanding. ACL/IJCNLP (2) 2021: 665-669 - [c25]Lifeng Jin, Byung-Doh Oh, William Schuler:
Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages. EMNLP (Findings) 2021: 4367-4378 - [c24]Lifeng Jin, Linfeng Song, Kun Xu, Dong Yu:
Instance-adaptive training with noise-robust losses against noisy labels. EMNLP (1) 2021: 5647-5663 - [c23]Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu:
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. EMNLP (1) 2021: 7741-7751 - [c22]Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, Jiebo Luo:
Video-aided Unsupervised Grammar Induction. NAACL-HLT 2021: 1513-1524 - [c21]Lifeng Jin, Kun Xu, Linfeng Song, Dong Yu:
Distant Finetuning with Discourse Relations for Stance Classification. NLPCC (2) 2021: 484-495 - [i6]Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, Jiebo Luo:
Video-aided Unsupervised Grammar Induction. CoRR abs/2104.04369 (2021) - [i5]Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song:
Domain-Adaptive Pretraining Methods for Dialogue Understanding. CoRR abs/2105.13665 (2021) - [i4]Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu:
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. CoRR abs/2110.14091 (2021) - 2020
- [c20]Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu:
Relation Extraction Exploiting Full Dependency Forests. AAAI 2020: 8034-8041 - [c19]Lifeng Jin, William Schuler:
Grounded PCFG Induction with Images. AACL/IJCNLP 2020: 396-408 - [c18]Lifeng Jin, William Schuler:
Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction. IWPT 2020 2020: 48-61 - [c17]Lifeng Jin, William Schuler:
The Importance of Category Labels in Grammar Induction with Child-directed Utterances. IWPT 2020 2020: 145-150 - [i3]Lifeng Jin, William Schuler:
The Importance of Category Labels in Grammar Induction with Child-directed Utterances. CoRR abs/2006.11646 (2020)
2010 – 2019
- 2019
- [c16]Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, Lane Schwartz, William Schuler:
Unsupervised Learning of PCFGs with Normalizing Flow. ACL (1) 2019: 2442-2452 - [c15]Lifeng Jin, William Schuler:
Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction. ACL (1) 2019: 2453-2463 - [c14]Yang Zhu, Dexin Sun, Xuebin Liu, Lifeng Jin, Jun Zhu, Zhaoguang Bai, Jun Dong, Bin Wu, Min Huang, Huan Yin, Qipeng Cao, Jin Hong:
Design and Analysis of Radiometric Calibration Mission in-orbit for Environment and Disasters Monitoring Satellite. IGARSS 2019: 8845-8848 - 2018
- [j2]Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Unsupervised Grammar Induction with Depth-bounded PCFG. Trans. Assoc. Comput. Linguistics 6: 211-224 (2018) - [c13]Lifeng Jin, David King, Amad Hussein, Michael White, Douglas Danforth:
Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System. BEA@NAACL-HLT 2018: 13-23 - [c12]Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction. EMNLP 2018: 2721-2731 - [i2]Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Unsupervised Grammar Induction with Depth-bounded PCFG. CoRR abs/1802.08545 (2018) - [i1]Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. CoRR abs/1809.03112 (2018) - 2017
- [c11]Lifeng Jin, Michael White, Evan Jaffe, Laura Zimmerman, Douglas Danforth:
Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System. BEA@EMNLP 2017: 11-21 - 2016
- [c10]Cory Shain, William Bryce, Lifeng Jin, Victoria Krakovna, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input. COLING 2016: 964-975 - [c9]Lifeng Jin, Manjuan Duan, William Schuler:
OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser. SemEval@NAACL-HLT 2016: 1212-1217 - [c8]Manjuan Duan, Lifeng Jin, William Schuler:
OSU_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar. SemEval@NAACL-HLT 2016: 1218-1224 - 2015
- [j1]Mao Ye, Zhi Tang, Jianbo Xu, Lifeng Jin:
Recommender System for E-Learning Based on Semantic Relatedness of Concepts. Inf. 6(3): 443-453 (2015) - [c7]Lifeng Jin, Marie-Catherine de Marneffe:
The Overall Markedness of Discourse Relations. EMNLP 2015: 1114-1119 - [c6]Lifeng Jin, William Schuler:
A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts. HLT-NAACL 2015: 990-994 - [c5]Evan Jaffe, Lifeng Jin, David King, Marten van Schijndel:
AZMAT: Sentence Similarity Using Associative Matrices. SemEval@NAACL-HLT 2015: 159-163 - 2014
- [c4]Mao Ye, Lifeng Jin, Zhi Tang, Jianbo Xu:
A Semantic Recommender System for Learning Based on Encyclopedia of Digital Publication. HCI (27) 2014: 189-194 - [c3]Mao Ye, Lifeng Jin, Zhi Tang, Jianbo Xu:
Sentences Extraction from Digital Publication for Domain-Specific Knowledge Service. HCI (26) 2014: 274-279 - 2013
- [c2]Lifeng Jin, Mao Ye, Yunlan Fu:
Number in Chinese: A Corpus-Based Computational Investigation. CLSW 2013: 645-656
2000 – 2009
- 2009
- [c1]Jiayu Zhou, Lifeng Jin, Sherwin Han:
Unified hierarchical iterate model of human conceptualization and cognition. IEEE ICCI 2009: 44-51
Coauthor Index
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last updated on 2024-09-27 00:36 CEST by the dblp team
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