Jing Zhang's Homepage
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation
Description: Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
nerf (195) d-nerf (90) nerfies (89)
We introduce TableLLM, a robust large language model (LLM) with 13 billion parameters, purpose-built for proficiently handling tabular data manipulation tasks, whether they are embedded within documents or spreadsheets, catering to real-world office scenarios. We propose a distant supervision method for training, which comprises a reasoning process extension strategy, aiding in training LLMs to understand reasoning patterns more effectively as well as a cross-way validation strategy, ensuring the quality of
We evaluate the code solution generation ability of TableLLM on three benchmarks: WikiSQL, Spider and Self-created table operation benchmark. The text answer generation ability is tested on four benchmarks: WikiTableQuestion (WikiTQ), TAT-QA, FeTaQA and OTTQA. The evaluation result is shown below:
If you have any questions, we encourage you to either create Github issues or get in touch with us at [email protected] , [email protected] or [email protected] .
Jing Zhang's Homepage
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation