Can Xu
Orcid: 0000-0002-1949-5715Affiliations:
- Microsoft, Beijing, China
According to our database1,
Can Xu authored at least 81 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
CoRR, March, 2026
OffSeeker: Online Reinforcement Learning Is Not All You Need for Deep Research Agents.
CoRR, January, 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent.
CoRR, December, 2025
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models.
CoRR, 2024
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
CoRR, 2024
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena.
CoRR, 2024
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.
CoRR, 2023
Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023
CoRR, 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
2019
A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Comput. Linguistics, 2019
Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots.
CoRR, 2018
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts.
CoRR, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017