SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. - Pei Ke; Haozhe Ji; Siyang Liu 003; Xiaoyan Zhu 001; Minlie Huang (CoRR, 2019)

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. - Pei Ke; Haozhe Ji; Siyang Liu 003; Xiaoyan Zhu 001; Minlie Huang (EMNLP (1), 2020)

Towards Emotional Support Dialog Systems. - Siyang Liu 003; Chujie Zheng; Orianna Demasi; Sahand Sabour; Yu Li 013; Zhou Yu 005; Yong Jiang 001; Minlie Huang (ACL/IJCNLP (1), 2021)

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support. - Hao Sun 012; Zhenru Lin; Chujie Zheng; Siyang Liu 003; Minlie Huang (ACL/IJCNLP (Findings), 2021)

Rethinking and Refining the Distinct Metric. - Siyang Liu 003; Sahand Sabour; Yinhe Zheng; Pei Ke; Xiaoyan Zhu 001; Minlie Huang (ACL (2), 2022)

Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond. - Siyang Liu 003; Naihao Deng; Sahand Sabour; Yilin Jia; Minlie Huang; Rada Mihalcea (EMNLP, 2023)

You Are What You Annotate: Towards Better Models through Annotator Representations. - Naihao Deng; Xinliang Frederick Zhang; Siyang Liu 003; Winston Wu; Lu Wang 008; Rada Mihalcea (EMNLP (Findings), 2023)

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (CoRR, 2023)

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. - Naihao Deng; Yikai Liu; Mingye Chen; Winston Wu; Siyang Liu 003; Yulong Chen 001; Yue Zhang 004; Rada Mihalcea (CoRR, 2023)

Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization. - Siyang Liu 003; Naihao Deng; Sahand Sabour; Yilin Jia; Minlie Huang; Rada Mihalcea (CoRR, 2023)

EmoBench: Evaluating the Emotional Intelligence of Large Language Models. - Sahand Sabour; Siyang Liu 003; Zheyuan Zhang; June M. Liu; Jinfeng Zhou; Alvionna S. Sunaryo; Tatia M. C. Lee; Rada Mihalcea; Minlie Huang (ACL (1), 2024)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (LREC/COLING, 2024)

The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models. - Siyang Liu 003; Trisha Maturi; Bowen Yi; Siqi Shen; Rada Mihalcea (EMNLP, 2024)

EmoBench: Evaluating the Emotional Intelligence of Large Language Models. - Sahand Sabour; Siyang Liu 003; Zheyuan Zhang; June M. Liu; Jinfeng Zhou; Alvionna S. Sunaryo; Juanzi Li; Tatia M. C. Lee; Rada Mihalcea; Minlie Huang (CoRR, 2024)

The Generation Gap: Exploring Age Bias in Large Language Models. - Siyang Liu 003; Trisha Maturi; Siqi Shen; Rada Mihalcea (CoRR, 2024)

Eeyore: Realistic Depression Simulation via Expert-in-the-Loop Supervised and Preference Optimization. - Siyang Liu 003; Bianca Brie; Wenda Li; Laura Biester; Andrew Lee 001; James W. Pennebaker; Rada Mihalcea (ACL (Findings), 2025)

Human Decision-making is Susceptible to AI-driven Manipulation. - Sahand Sabour; June M. Liu; Siyang Liu 003; Chris Z. Yao; Shiyao Cui; Xuanming Zhang; Wen Zhang; Yaru Cao; Advait Bhat; Jian Guan 002; Wei Wu 014; Rada Mihalcea; et al. (CoRR, 2025)

Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization. - Siyang Liu 003; Bianca Brie; Wenda Li; Laura Biester; Andrew Lee 001; James W. Pennebaker; Rada Mihalcea (CoRR, 2025)

Free Lunch for User Experience: Crowdsourcing Agents for Scalable User Studies. - Siyang Liu 003; Sahand Sabour; Xiaoyang Wang; Rada Mihalcea (CoRR, 2025)