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Tinghui Zhu

4 accepted papers

2025

LLM Agents for Education: Advances and Applications

EMNLP 2025

Large Language Model (LLM) agents are transforming education by automating complex pedagogical tasks and enhancing both teaching and learning processes. In this survey, we present a systematic review of recent advances in applying LLM agents to address key challenges in educational settings, such as

Cited by 0SourcePDFScholar
2025

MCiteBench: A Multimodal Benchmark for Generating Text with Citations

EMNLP 2025

Multimodal Large Language Models (MLLMs) have advanced in integrating diverse modalities but frequently suffer from hallucination. A promising solution to mitigate this issue is to generate text with citations, providing a transparent chain for verification. However, existing work primarily focuses

2024

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

ICML 2024spotlight

Planning has been part of the core pursuit for artificial intelligence since its conception, but earlier AI agents mostly focused on constrained settings because many of the cognitive substrates necessary for human-level planning have been lacking. Recently, language agents powered by large language…

2023

End-to-End Entity Linking with Hierarchical Reinforcement Learning

AAAI 2023technical

Entity linking (EL) is the task of linking the text segments to the referring entities in the knowledge graph, typically decomposed into mention detection, and entity disambiguation. Compared to traditional methods treating the two tasks separately, recent end-to-end entity linking methods exploit t…