Lifeng Jin

Orcid: 0000-0002-6754-7014

According to our database1, Lifeng Jin authored at least 51 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A randomized prospective study of a hybrid rule- and data-driven virtual patient.
Nat. Lang. Eng., January, 2024

Self-Consistency Boosts Calibration for Math Reasoning.
CoRR, 2024

A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation.
CoRR, 2024

Collaborative decoding of critical tokens for boosting factuality of large language models.
CoRR, 2024

Fine-Grained Self-Endorsement Improves Factuality and Reasoning.
CoRR, 2024

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation.
CoRR, 2024

Inconsistent dialogue responses and how to recover from them.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
D$^{2}$PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs.
CoRR, 2023

The Trickle-down Impact of Reward (In-)consistency on RLHF.
CoRR, 2023

Stabilizing RLHF through Advantage Model and Selective Rehearsal.
CoRR, 2023

Friend-training: Learning from Models of Different but Related Tasks.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

SafeConv: Explaining and Correcting Conversational Unsafe Behavior.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing.
CoRR, 2022

Learning a Grammar Inducer from Massive Uncurated Instructional Videos.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Salience Allocation as Guidance for Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dynamic Augmentation Data Selection for Few-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Hierarchical Context Tagging for Utterance Rewriting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition.
Comput. Linguistics, 2021

Sunway supercomputer architecture towards exascale computing: analysis and practice.
Sci. China Inf. Sci., 2021

Distant Finetuning with Discourse Relations for Stance Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Video-aided Unsupervised Grammar Induction.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Instance-adaptive training with noise-robust losses against noisy labels.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Domain-Adaptive Pretraining Methods for Dialogue Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
The Importance of Category Labels in Grammar Induction with Child-directed Utterances.
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction.
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Grounded PCFG Induction with Images.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Relation Extraction Exploiting Full Dependency Forests.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Design and Analysis of Radiometric Calibration Mission in-orbit for Environment and Disasters Monitoring Satellite.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Unsupervised Learning of PCFGs with Normalizing Flow.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Unsupervised Grammar Induction with Depth-bounded PCFG.
Trans. Assoc. Comput. Linguistics, 2018

Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System.
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

2017
Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

2016
OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

OSU_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input.
Proceedings of the COLING 2016, 2016

2015
Recommender System for E-Learning Based on Semantic Relatedness of Concepts.
Inf., 2015

AZMAT: Sentence Similarity Using Associative Matrices.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

The Overall Markedness of Discourse Relations.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
A Semantic Recommender System for Learning Based on Encyclopedia of Digital Publication.
Proceedings of the HCI International 2014 - Posters' Extended Abstracts, 2014

Sentences Extraction from Digital Publication for Domain-Specific Knowledge Service.
Proceedings of the HCI International 2014 - Posters' Extended Abstracts, 2014

2013
Number in Chinese: A Corpus-Based Computational Investigation.
Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013

2009
Unified hierarchical iterate model of human conceptualization and cognition.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009


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