activity
20222026
most citedHelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Dialogue Act Patterns in GenAI-Mediated L2 Oral Practice: A Sequential Analysis of Learner-Chatbot Interactions

Liqun He, Shijun, Chen +2

While generative AI (GenAI) voice chatbots offer scalable opportunities for second language (L2) oral practice, the interactional processes related to learners' gains remain undere…

cs.CL2025

Towards Mining Effective Pedagogical Strategies from Learner-LLM Educational Dialogues

Liqun He, Manolis Mavrikis, Mutlu Cukurova

Dialogue plays a crucial role in educational settings, yet existing evaluation methods for educational applications of large language models (LLMs) primarily focus on technical per…

cs.CL2025

Automated Classification of Tutors' Dialogue Acts Using Generative AI: A Case Study Using the CIMA Corpus

Liqun He, Jiaqi Xu

This study explores the use of generative AI for automating the classification of tutors' Dialogue Acts (DAs), aiming to reduce the time and effort required by traditional manual c…

cs.CL2024★ 2 cited

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Haoran Que, Feiyu Duan, Liqun He +11

In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks (e.g., long-context understanding), and many benchmarks have been proposed.…

cs.HC2022

HeadText: Exploring Hands-free Text Entry using Head Gestures by Motion Sensing on a Smart Earpiece

Songlin Xu, Guanjie Wang, Ziyuan Fang +4

We present HeadText, a hands-free technique on a smart earpiece for text entry by motion sensing. Users input text utilizing only 7 head gestures for key selection, word selection,…