Generating Diverse Descriptions from Semantic Graphs. - Jiuzhou Han; Daniel Beck; Trevor Cohn (INLG, 2021)

Self-supervised Graph Masking Pre-training for Graph-to-Text Generation. - Jiuzhou Han; Ehsan Shareghi (EMNLP, 2022)

POSQA: Probe the World Models of LLMs with Size Comparisons. - Chang Shu; Jiuzhou Han; Fangyu Liu 001; Ehsan Shareghi; Nigel Collier (EMNLP (Findings), 2023)

Towards Uncertainty-Aware Language Agent. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (ACL (Findings), 2024)

PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. - Jiuzhou Han; Nigel Collier; Wray L. Buntine; Ehsan Shareghi (ACL (Findings), 2024)

Reward Engineering for Generating Semi-structured Explanation. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (EACL (Findings), 2024)

Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification. - Ramya Keerthy Thatikonda; Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (CoRR, 2024)

Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study. - Ehsan Shareghi; Jiuzhou Han; Paul Burgess (CoRR, 2024)

Agent S: An Open Agentic Framework that Uses Computers Like a Human. - Saaket Agashe; Jiuzhou Han; Shuyu Gan; Jiachen Yang; Ang Li; Xin Eric Wang (ICLR, 2025)

VerifiAgent: a Unified Verification Agent in Language Model Reasoning. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (CoRR, 2025)

Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (CoRR, 2025)