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Surajit Chaudhuri

2 accepted papers

2025

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

NeurIPS 2025poster

Tables and table-based use cases play a crucial role in many important real-world applications, such as spreadsheets, databases, and computational notebooks, which traditionally require expert-level users like data engineers, data analysts, and database administrators to operate. Although LLMs have…

Cited by 0SourcecodeScholar
2025

Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning

EMNLP 2025

Language models such as GPT and Llama have shown remarkable ability on diverse natural language tasks, yet their performance on complex table tasks (e.g., NL-to-Code, data cleaning, etc.) continues to be suboptimal. To improve their performance, task-specific fine-tuning is often needed, which, howe