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Raphaël Mouravieff

2 accepted papers

2025

Structural Deep Encoding for Table Question Answering

ACL 2025finding

Although Transformers-based architectures excel at processing textual information, their naive adaptation for tabular data often involves flattening the table structure. This simplification can lead to the loss of essential inter-dependencies between rows, columns, and cells, while also posing scala…

2024

Learning Relational Decomposition of Queries for Question Answering from Tables

ACL 2024long

Table Question-Answering involves both understanding the natural language query and grounding it in the context of the input table to extract relevant information. In this context, many methods have highlighted the benefits of intermediate pre-training using SQL queries. However, while most approach…