---
title: "Who cites Exploring Generative Process — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of…"
canonical: "https://research.elamur.ai/free/en/papers/tang-2026-exploring-generative-process-reward-modeling/cited-by/"
---
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# Who cites «Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering»](https://md.research.elamur.ai/free/en/papers/tang-2026-exploring-generative-process-reward-modeling/)

1. **[Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation](https://md.research.elamur.ai/free/en/papers/zhou-2026-table-question-answering-era-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.*2026 · 2 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/tang-2026-exploring-generative-process-reward-modeling/) — Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering