Hang Li

Orcid: 0000-0002-3464-3245

Affiliations:
  • Michigan State University, East Lansing, MI, USA
  • TAL Education Group, TAL AI Lab, Beijing, China


According to our database1, Hang Li authored at least 35 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers.
CoRR, July, 2025

Kwai Keye-VL Technical Report.
CoRR, July, 2025

LLM-based Automated Grading with Human-in-the-Loop.
CoRR, April, 2025

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education.
CoRR, February, 2025

Graph-level Representation Learning with Joint-Embedding Predictive Architectures.
Trans. Mach. Learn. Res., 2025

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.
Proceedings of the 18th International Conference on Educational Data Mining, 2025

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.
Proceedings of the 18th International Conference on Educational Data Mining, 2025

Bringing Generative Artificial Intelligence (GenAI) to Education.
Proceedings of the 18th International Conference on Educational Data Mining, 2025

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Knowledge Tagging with Large Language Model Based Multi-Agent System.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization.
CoRR, 2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
CoRR, 2024

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.
CoRR, 2024

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever.
CoRR, 2024

Large Language Models for Education: A Survey and Outlook.
CoRR, 2024

Automate Knowledge Concept Tagging on Math Questions with LLMs.
CoRR, 2024

Bringing Generative AI to Adaptive Learning in Education.
CoRR, 2024

Sub-Graph Based Diffusion Model for Link Prediction.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Are Large Language Models (LLMs) Good Social Predictors?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Content Knowledge Identification with Multi-agent Large Language Models (LLMs).
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
SIGKDD Explor., December, 2023

Generative Diffusion Models on Graphs: Methods and Applications.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.
CoRR, 2021

Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition.
CoRR, 2020

Multimodal Learning for Classroom Activity Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Siamese Neural Networks for Class Activity Detection.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
A Multimodal Alerting System for Online Class Quality Assurance.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019


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