Xianjie Wu

Orcid: 0009-0003-7548-9824

According to our database1, Xianjie Wu authored at least 27 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning.
CoRR, April, 2026

Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty.
CoRR, April, 2026

Temporal-Aware Heterogeneous Graph Reasoning with Multi-View Fusion for Temporal Question Answering.
CoRR, February, 2026

DPI: Exploiting Parameter Heterogeneity for Interference-Free Fine-Tuning.
CoRR, January, 2026

MMTableBench: A Multi-level Multimodal Benchmark for Reasoning and Layout Complexity in Table QA.
Proceedings of the ACM Web Conference 2026, 2026

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence.
CoRR, November, 2025

M3TQA: Massively Multilingual Multitask Table Question Answering.
CoRR, August, 2025

Multilingual Multimodal Software Developer for Code Generation.
CoRR, July, 2025

Table-R1: Region-based Reinforcement Learning for Table Understanding.
CoRR, May, 2025

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models.
CoRR, February, 2025

Informative Memory Mechanism for Enhancing Crisis Response in Large Language Models.
Proceedings of the International Joint Conference on Neural Networks, 2025

McEval: Massively Multilingual Code Evaluation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Breaking Size Barrier: Enhancing Reasoning for Large-Size Table Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2025

XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.
CoRR, 2024

Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model.
CoRR, 2024

McEval: Massively Multilingual Code Evaluation.
CoRR, 2024

2023
Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation.
CoRR, 2023

Read Then Respond: Multi-granularity Grounding Prediction for Knowledge-Grounded Dialogue Generation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2020
面向自然语言处理的预训练技术研究综述 (Survey of Natural Language Processing Pre-training Techniques).
计算机科学, 2020


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