Wei Zhou
Orcid: 0009-0006-8617-8337Affiliations:
- Bosch Center for Artificial Intelligence, Renningen, Germany
- University of Augsburg, Germany
According to our database1,
Wei Zhou authored at least 13 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation.
CoRR, October, 2025
PPT: A Process-based Preference Learning Framework for Self Improving Table Question Answering Models.
CoRR, May, 2025
G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data.
Proceedings of the 19th International Workshop on Semantic Evaluation, 2025
Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
The Finer They Get: Combining Fine-Tuned Models For Better Semantic Change Detection.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023
Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021