Chaojun Xiao

Orcid: 0000-0001-6039-0942

According to our database1, Chaojun Xiao authored at least 29 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Robust and Scalable Model Editing for Large Language Models.
CoRR, 2024

Ouroboros: Speculative Decoding with Large Model Enhanced Drafting.
CoRR, 2024

InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory.
CoRR, 2024

ReLU<sup>2</sup> Wins: Discovering Efficient Activation Functions for Sparse LLMs.
CoRR, 2024

2023
UPRec: User-aware Pre-training for sequential Recommendation.
AI Open, January, 2023

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language.
CoRR, 2023

Tool Learning with Foundation Models.
CoRR, 2023

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MUSER: A Multi-View Similar Case Retrieval Dataset.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Emergent Modularity in Pre-trained Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Plug-and-Play Document Modules for Pre-trained Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect.
Frontiers Big Data, 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.
CoRR, 2021

Equality before the Law: Legal Judgment Consistency Analysis for Fairness.
CoRR, 2021

UPRec: User-Aware Pre-training for Recommender Systems.
CoRR, 2021

CPM-2: Large-scale cost-effective pre-trained language models.
AI Open, 2021

Lawformer: A pre-trained language model for Chinese legal long documents.
AI Open, 2021

Adversarial Language Games for Advanced Natural Language Intelligence.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
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

Denoising Relation Extraction from Document-level Distant Supervision.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

JEC-QA: A Legal-Domain Question Answering Dataset.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain.
CoRR, 2019

Adversarial Language Games for Advanced Natural Language Intelligence.
CoRR, 2019

2018
Overview of CAIL2018: Legal Judgment Prediction Competition.
CoRR, 2018

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction.
CoRR, 2018

Legal Judgment Prediction via Topological Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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