Juntao Li
Orcid: 0000-0002-6286-7529Affiliations:
- Soochow University, Suzhou, Jiangsu, China
According to our database1,
Juntao Li
authored at least 108 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, October, 2025
CoRR, October, 2025
CoRR, September, 2025
IEEE Trans. Knowl. Data Eng., August, 2025
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification.
CoRR, May, 2025
CoRR, May, 2025
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains.
CoRR, March, 2025
CoRR, March, 2025
CoRR, March, 2025
The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model Agents.
CoRR, February, 2025
CoRR, January, 2025
CoRR, January, 2025
Trans. Assoc. Comput. Linguistics, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024
Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch.
CoRR, 2024
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.
CoRR, 2024
CoRR, 2024
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Asian Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Artif. Intell., September, 2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.
CoRR, 2023
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models.
CoRR, 2023
CoRR, 2023
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study.
CoRR, 2023
Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Found. Trends Inf. Retr., 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.
ACM Trans. Inf. Syst., 2021
C<sup>2</sup>-Rec: An Effective Consistency Constraint for Sequential Recommendation.
CoRR, 2021
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning.
CoRR, 2021
Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots.
CoRR, 2021
Proceedings of the Companion of The Web Conference 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification.
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Plan-CVAE: A Planning-Based Conditional Variational Autoencoder for Story Generation.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020
Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018