High-order Graph-based Neural Dependency Parsing. - Zhisong Zhang; Hai Zhao (PACLIC, 2015)

Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network. - Zhisong Zhang; Hai Zhao; Lianhui Qin (ACL (1), 2016)

Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings. - Lianhui Qin; Zhisong Zhang; Hai Zhao (COLING, 2016)

Shallow Discourse Parsing Using Convolutional Neural Network. - Lianhui Qin; Zhisong Zhang; Hai Zhao (CoNLL Shared Task, 2016)

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification. - Lianhui Qin; Zhisong Zhang; Hai Zhao (EMNLP, 2016)

Fast and Accurate Neural Word Segmentation for Chinese. - Deng Cai 002; Hai Zhao 001; Zhisong Zhang; Yuan Xin; Yongjian Wu 001; Feiyue Huang (ACL (2), 2017)

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. - Lianhui Qin; Zhisong Zhang; Hai Zhao; Zhiting Hu; Eric P. Xing (ACL (1), 2017)

A Transition-based System for Universal Dependency Parsing. - Hao Wang; Hai Zhao; Zhisong Zhang (CoNLL Shared Task (2), 2017)

Neural Character-level Dependency Parsing for Chinese. - Haonan Li 002; Zhisong Zhang; Yuqi Ju; Hai Zhao 001 (AAAI, 2018)

Exploring Recombination for Efficient Decoding of Neural Machine Translation. - Zhisong Zhang; Rui Wang 015; Masao Utiyama; Eiichiro Sumita; Hai Zhao 001 (EMNLP, 2018)

Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing. - Wasi Uddin Ahmad; Zhisong Zhang; Xuezhe Ma; Eduard H. Hovy; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2018)

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. - Junxian He; Zhisong Zhang; Taylor Berg-Kirkpatrick; Graham Neubig (ACL (1), 2019)

Choosing Transfer Languages for Cross-Lingual Learning. - Yu-Hsiang Lin; Chian-Yu Chen; Jean Lee; Zirui Li; Yuyan Zhang; Mengzhou Xia; Shruti Rijhwani; Junxian He; Zhisong Zhang; Xuezhe Ma; Antonios Anastasopoulos; Patrick Littell; et al. (ACL (1), 2019)

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing. - Zhisong Zhang; Xuezhe Ma; Eduard H. Hovy (ACL (1), 2019)

Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages. - Wasi Uddin Ahmad; Zhisong Zhang; Xuezhe Ma; Kai-Wei Chang; Nanyun Peng 001 (CoNLL, 2019)

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing. - Wasi Uddin Ahmad; Zhisong Zhang; Xuezhe Ma; Eduard H. Hovy; Kai-Wei Chang; Nanyun Peng 001 (NAACL-HLT (1), 2019)

SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation. - Junpei Zhou; Zhisong Zhang; Zecong Hu (WMT (3), 2019)

A Two-Step Approach for Implicit Event Argument Detection. - Zhisong Zhang; Xiang Kong; Zhengzhong Liu 001; Xuezhe Ma; Eduard H. Hovy (ACL, 2020)

Incorporating a Local Translation Mechanism into Non-autoregressive Translation. - Xiang Kong; Zhisong Zhang; Eduard H. Hovy (EMNLP (1), 2020)

An Empirical Exploration of Local Ordering Pre-training for Structured Learning. - Zhisong Zhang; Xiang Kong; Lori S. Levin; Eduard H. Hovy (EMNLP (Findings), 2020)

Neural Polysynthetic Language Modelling. - Lane Schwartz; Francis M. Tyers; Lori S. Levin; Christo Kirov; Patrick Littell; Chi-kiu Lo; Emily Prud'hommeaux; Hyunji Hayley Park; Kenneth Steimel; Rebecca Knowles; Jeffrey Micher; Lonny Strunk; et al. (CoRR, 2020)

Comparing Span Extraction Methods for Semantic Role Labeling. - Zhisong Zhang; Emma Strubell; Eduard H. Hovy (SPNLP@ACL-IJCNLP, 2021)

On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling. - Zhisong Zhang; Emma Strubell; Eduard H. Hovy (EMNLP (1), 2021)

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism. - Zhisong Zhang; Yaran Chen; Haoran Li 010; Qichao Zhang (IJCNN, 2021)

Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying. - Zhisong Zhang; Emma Strubell; Eduard H. Hovy (EMNLP, 2022)

A Survey of Active Learning for Natural Language Processing. - Zhisong Zhang; Emma Strubell; Eduard H. Hovy (EMNLP, 2022)

Neural Character-Level Syntactic Parsing for Chinese. - Zuchao Li; Junru Zhou; Hai Zhao 001; Zhisong Zhang; Haonan Li 002; Yuqi Ju (J. Artif. Intell. Res., 2022)

Towards More Efficient Insertion Transformer with Fractional Positional Encoding. - Zhisong Zhang; Yizhe Zhang 002; Bill Dolan (EACL, 2023)

Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training. - Zhisong Zhang; Emma Strubell; Eduard H. Hovy (EMNLP (Findings), 2023)

On the Interactions of Structural Constraints and Data Resources for Structured Prediction. - Zhisong Zhang; Emma Strubell; Eduard H. Hovy (SustaiNLP, 2023)

Reasons to Reject? Aligning Language Models with Judgments. - Weiwen Xu; Deng Cai 002; Zhisong Zhang; Wai Lam; Shuming Shi 001 (ACL (Findings), 2024)

A Thorough Examination of Decoding Methods in the Era of LLMs. - Chufan Shi; Haoran Yang; Deng Cai 002; Zhisong Zhang; Yifan Wang; Yujiu Yang; Wai Lam (EMNLP, 2024)

On the Worst Prompt Performance of Large Language Models. - Bowen Cao; Deng Cai 002; Zhisong Zhang; Yuexian Zou; Wai Lam (NeurIPS, 2024)

Self-playing Adversarial Language Game Enhances LLM Reasoning. - Pengyu Cheng; Tianhao Hu; Han Xu; Zhisong Zhang; Yong Dai 001; Lei Han; Nan Du; Xiaolong Li (NeurIPS, 2024)

Self-playing Adversarial Language Game Enhances LLM Reasoning. - Pengyu Cheng; Tianhao Hu; Han Xu; Zhisong Zhang; Yong Dai 001; Lei Han; Nan Du (CoRR, 2024)

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt. - Deng Cai 002; Huayang Li; Tingchen Fu; Siheng Li; Weiwen Xu; Shuaiyi Li; Bowen Cao; Zhisong Zhang; Xinting Huang; Leyang Cui; Yan Wang 060; Lemao Liu; et al. (CoRR, 2024)

Atomic Calibration of LLMs in Long-Form Generations. - Caiqi Zhang; Ruihan Yang; Zhisong Zhang; Xinting Huang; Sen Yang; Dong Yu 001; Nigel Collier (CoRR, 2024)

Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens. - Xu Ouyang; Tao Ge 005; Thomas Hartvigsen; Zhisong Zhang; Haitao Mi; Dong Yu 001 (CoRR, 2024)

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression. - Chenlong Deng; Zhisong Zhang; Kelong Mao; Shuaiyi Li; Xinting Huang; Dong Yu 001; Zhicheng Dou (ACL (1), 2025)

Low-Bit Quantization Favors Undertrained LLMs. - Xu Ouyang; Tao Ge 005; Thomas Hartvigsen; Zhisong Zhang; Haitao Mi; Dong Yu 001 (ACL (1), 2025)

LoGU: Long-form Generation with Uncertainty Expressions. - Ruihan Yang; Caiqi Zhang; Zhisong Zhang; Xinting Huang; Sen Yang; Nigel Collier; Dong Yu 001; Deqing Yang (ACL (1), 2025)

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models. - Zhisong Zhang; Yan Wang 060; Xinting Huang; Tianqing Fang; Hongming Zhang 009; Chenlong Deng; Shuaiyi Li; Dong Yu 001 (ACL (1), 2025)

Structured Extraction of Process Structure Properties Relationships in Materials Science. - Amit K. Verma; Zhisong Zhang; Junwon Seo; Robin Kuo; Runbo Jiang; Emma Strubell; Anthony D. Rollett (CoRR, 2025)

Enhancing Web Agents with Explicit Rollback Mechanisms. - Zhisong Zhang; Tianqing Fang; Kaixin Ma; Wenhao Yu 002; Hongming Zhang 009; Haitao Mi; Dong Yu 001 (CoRR, 2025)

WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model. - Tianqing Fang; Hongming Zhang 009; Zhisong Zhang; Kaixin Ma; Wenhao Yu 002; Haitao Mi; Dong Yu 001 (CoRR, 2025)

Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation. - Junyu Ma; Tianqing Fang; Zhisong Zhang; Hongming Zhang 009; Haitao Mi; Dong Yu 001 (CoRR, 2025)

UNCLE: Uncertainty Expressions in Long-Form Generation. - Ruihan Yang; Caiqi Zhang; Zhisong Zhang; Xinting Huang; Dong Yu 001; Nigel Collier; Deqing Yang (CoRR, 2025)

WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and Rollback. - Minda Hu; Tianqing Fang; Jianshu Zhang; Junyu Ma; Zhisong Zhang; Jingyan Zhou; Hongming Zhang 009; Haitao Mi; Dong Yu 001; Irwin King (CoRR, 2025)

InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing. - Shuaiyi Li; Zhisong Zhang; Yang Deng 002; Chenlong Deng; Tianqing Fang; Hongming Zhang 009; Haitao Mi; Dong Yu 001; Wai Lam (CoRR, 2025)

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models. - Ce Zhang 009; Kaixin Ma; Tianqing Fang; Wenhao Yu 002; Hongming Zhang 009; Zhisong Zhang; Yaqi Xie 001; Katia P. Sycara; Haitao Mi; Dong Yu 001 (CoRR, 2025)

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training. - Tianqing Fang; Zhisong Zhang; Xiaoyang Wang; Rui Wang 015; Can Qin; Yuxuan Wan; Jun-Yu Ma; Ce Zhang 009; Jiaqi Chen; Xiyun Li; Hongming Zhang 009; Haitao Mi; et al. (CoRR, 2025)