Autoregressive Structured Prediction with Language Models. - Tianyu Liu 004; Yuchen Eleanor Jiang; Nicholas Monath; Ryan Cotterell; Mrinmaya Sachan (EMNLP (Findings), 2022)

A Structured Span Selector. - Tianyu Liu 004; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (NAACL-HLT, 2022)

A Bilingual Parallel Corpus with Discourse Annotations. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2022)

Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems. - Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2022)

Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2023)

Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. - Vilém Zouhar; Shehzaad Dhuliawala; Wangchunshu Zhou; Nico Daheim; Tom Kocmi; Yuchen Eleanor Jiang; Mrinmaya Sachan (EACL, 2023)

Controlled Text Generation with Natural Language Instructions. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ethan Wilcox; Ryan Cotterell; Mrinmaya Sachan (ICML, 2023)

Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies. - Kirill Semenov; Vilém Zouhar; Tom Kocmi; Dongdong Zhang 001; Wangchunshu Zhou; Yuchen Eleanor Jiang (WMT, 2023)

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. - Yuchen Eleanor Jiang; Tianyu Liu 004; Shuming Ma; Dongdong Zhang 001; Mrinmaya Sachan; Ryan Cotterell (CoRR, 2023)

Efficient Prompting via Dynamic In-Context Learning. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Peng Cui 006; Tiannan Wang; Zhenxin Xiao; Yifan Hou; Ryan Cotterell; Mrinmaya Sachan (CoRR, 2023)

Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing. - Tianyi Tang; Hongyuan Lu; Yuchen Eleanor Jiang; Haoyang Huang; Dongdong Zhang 001; Wayne Xin Zhao; Furu Wei (CoRR, 2023)

Agents: An Open-source Framework for Autonomous Language Agents. - Wangchunshu Zhou; Yuchen Eleanor Jiang; Long Li; Jialong Wu 007; Tiannan Wang; Shi Qiu; Jintian Zhang; Jing Chen; Ruipu Wu; Shuai Wang; Shiding Zhu; Jiyu Chen; et al. (CoRR, 2023)

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. - Shuofei Qiao; Ningyu Zhang 001; Runnan Fang; Yujie Luo; Wangchunshu Zhou; Yuchen Eleanor Jiang; Chengfei Lv; Huajun Chen (ACL (1), 2024)

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning. - Shuofei Qiao; Ningyu Zhang 001; Runnan Fang; Yujie Luo; Wangchunshu Zhou; Yuchen Eleanor Jiang; Chengfei Lv; Huajun Chen (CoRR, 2024)

Weaver: Foundation Models for Creative Writing. - Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu 007; et al. (CoRR, 2024)

Symbolic Learning Enables Self-Evolving Agents. - Wangchunshu Zhou; Yixin Ou; Shengwei Ding; Long Li; Jialong Wu 007; Tiannan Wang; Jiamin Chen; Shuai Wang; Xiaohua Xu 003; Ningyu Zhang 001; Huajun Chen; Yuchen Eleanor Jiang (CoRR, 2024)

AI PERSONA: Towards Life-long Personalization of LLMs. - Tiannan Wang; Meiling Tao; Ruoyu Fang; Huilin Wang; Shuai Wang; Yuchen Eleanor Jiang; Wangchunshu Zhou (CoRR, 2024)

OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (ACL (1), 2025)

TaskCraft: Automated Generation of Agentic Tasks. - Dingfeng Shi; Jingyi Cao; Qianben Chen; Weichen Sun; Weizhen Li; Hongxuan Lu; Fangchen Dong; Tianrui Qin; King Zhu; Minghao Liu 003; Jian Yang 003; Ge Zhang 009; et al. (CoRR, 2025)

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization. - Meiling Tao; Chenghao Zhu; Dongyi Ding; Tiannan Wang; Yuchen Eleanor Jiang; Wangchunshu Zhou (CoRR, 2025)

Scaling Test-time Compute for LLM Agents. - King Zhu; Hanhao Li; Siwei Wu; Tianshun Xing; Dehua Ma; Xiangru Tang; Minghao Liu 003; Jian Yang 003; Jiaheng Liu; Yuchen Eleanor Jiang; Changwang Zhang; Chenghua Lin; et al. (CoRR, 2025)

OAgents: An Empirical Study of Building Effective Agents. - He Zhu; Tianrui Qin; King Zhu; Heyuan Huang; Yeyi Guan; Jinxiang Xia; Yi Yao; Hanhao Li; Ningning Wang; Pai Liu; Tianhao Peng; Xin Gui; et al. (CoRR, 2025)

MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants. - Dongyi Ding; Tiannan Wang; Chenghao Zhu; Meiling Tao; Yuchen Eleanor Jiang; Wangchunshu Zhou (CoRR, 2025)

Efficient Agents: Building Effective Agents While Reducing Cost. - Ningning Wang; Xavier Hu; Pai Liu; He Zhu; Yue Hou; Heyuan Huang; Shengyu Zhang; Jian Yang 003; Jiaheng Liu; Ge Zhang 009; Changwang Zhang; Jun Wang; et al. (CoRR, 2025)

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. - Xueyu Hu; Tao Xiong; Biao Yi; Zishu Wei; Ruixuan Xiao; Yurun Chen 004; Jiasheng Ye; Meiling Tao; Xiangxin Zhou; Ziyu Zhao 001; Yuhuai Li; Shengze Xu; et al. (CoRR, 2025)

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL. - Weizhen Li; Jianbo Lin; Zhuosong Jiang; Jingyi Cao; Xinpeng Liu; Jiayu Zhang; Zhenqiang Huang; Qianben Chen; Weichen Sun; Qiexiang Wang; Hongxuan Lu; Tianrui Qin; et al. (CoRR, 2025)