We are pleased to announce that three DTALab contributions have been accepted at CIKM 2026, including two demo papers and one resource paper.

TabgenQA — Demo Track
TabgenQA is an interactive platform for generating non-relational, multi-table numerical question-answering benchmarks and evaluating LLMs on the resulting datasets. The platform supports configurable benchmark generation, instance inspection and editing, and model evaluation.
Authors: Michele Luca Contalbo, Matteo Paganelli, Paolo Papotti, Francesco Guerra
Code: GitHub – TabgenQA

AEQUITAS — Demo Track
AEQUITAS (An Evaluation toolkit for QUantItative and Trading AnalySis) is an interactive environment for stock market prediction and portfolio evaluation, built on top of the FinBench benchmarking framework. It supports the complete evaluation workflow from reusable dataset construction to model execution and portfolio-level result analysis and exposes it through a configurable backend and a Gradio-based graphical interface with LLM-assisted result interpretation.
Authors: Sara Pederzoli, Marta Santacroce, Francesco Guerra, Marco Bergianti, Francesco Del Buono
Code: GitHub – AEQUITAS

CFX-Bench: A Benchmark for Counterfactual Explanations — Resource Track
CFX-Bench provides a benchmarking framework for the systematic evaluation of counterfactual explanation methods across datasets and explainers, including support for LLM-based evaluation.
Authors: Riccardo Benassi, Federico Gualandri, Matteo Paganelli, Gennaro Aloe, Enrico Bagli, Mario Calò Carducci, Maurizio Vincini, Francesco Guerra
Code: GitHub – CFX-Bench