activity
20202026
most citedEvaluating the Performance of Reinforcement Learning Algorithms

19 citations · 34 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs

Sijia Chen, Xiaomin Li, Mengxue Zhang +3

Large language models (LLMs) are increasingly deployed in medical contexts, raising critical concerns about safety, alignment, and susceptibility to adversarial manipulation. While…

cs.CL2023

Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions

Mengxue Zhang, Neil Heffernan, Andrew Lan

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for…

cs.CL2023

Interpretable Math Word Problem Solution Generation Via Step-by-step Planning

Mengxue Zhang, Zichao Wang, Zhichao Yang +2

Solutions to math word problems (MWPs) with step-by-step explanations are valuable, especially in education, to help students better comprehend problem-solving strategies. Most exi…

cs.CL2023★ 1 cited

Algebra Error Classification with Large Language Models

Hunter McNichols, Mengxue Zhang, Andrew Lan

Automated feedback as students answer open-ended math questions has significant potential in improving learning outcomes at large scale. A key part of automated feedback systems is…

cs.CL2022★ 14 cited

Automatic Short Math Answer Grading via In-context Meta-learning

Mengxue Zhang, Sami Baral, Neil Heffernan +1

Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-t…