Zhenhe Wu
Orcid: 0009-0007-1036-8123
According to our database1,
Zhenhe Wu authored at least 22 papers
between 2022 and 2026.
Collaborative distances:
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Bibliography
2026
WorldTravel: A Realistic Multimodal Travel-Planning Benchmark with Tightly Coupled Constraints.
CoRR, February, 2026
ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios.
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
2025
From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence.
CoRR, November, 2025
CoRR, October, 2025
MR-UIE: Multi-Perspective Reasoning with Reinforcement Learning for Universal Information Extraction.
CoRR, September, 2025
Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation.
CoRR, September, 2025
TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering.
CoRR, September, 2025
T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables.
CoRR, August, 2025
CoRR, May, 2025
CoRR, February, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the Database Systems for Advanced Applications, 2025
Proceedings of the Database Systems for Advanced Applications, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to-SQL.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Proceedings of the ISWC 2024 Posters, 2024
2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
DialCSP: A Two-Stage Attention-Based Model for Customer Satisfaction Prediction in E-commerce Customer Service.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022