Wei Zhou

Orcid: 0009-0006-8617-8337

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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
Challenging distributional models with a conceptual network of philosophical terms.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021


  Loading...