ScienceQA

This is the ScientificQA dataset by Saikh et al (2022). @article{10.1007/s00799-022-00329-y, author = {Saikh, Tanik and Ghosal, Tirthankar and Mittal, Amish and Ekbal, Asif and Bhattacharyya, Pushpak}, title = {ScienceQA: A Novel Resource for Question Answering on Scholarly Articles}, year = {2022}, journal = {Int. J.

Papers using ScienceQA (3)

Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows2026UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation2025ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use2025