THUNLP at TAC KBP 2013 in Entity Linking. - Yan Wang; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (TAC, 2013)

Learning Entity and Relation Embeddings for Knowledge Graph Completion. - Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001; Yang Liu 107; Xuan Zhu (AAAI, 2015)

Modeling Relation Paths for Representation Learning of Knowledge Bases. - Yankai Lin; Zhiyuan Liu 001; Huan-Bo Luan; Maosong Sun 001; Siwei Rao; Song Liu (EMNLP, 2015)

Modeling Relation Paths for Representation Learning of Knowledge Bases. - Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2015)

Neural Relation Extraction with Selective Attention over Instances. - Yankai Lin; Shiqi Shen; Zhiyuan Liu 001; Huanbo Luan; Maosong Sun 001 (ACL (1), 2016)

Neural Sentiment Classification with User and Product Attention. - Huimin Chen; Maosong Sun 001; Cunchao Tu; Yankai Lin; Zhiyuan Liu 001 (EMNLP, 2016)

Knowledge Representation Learning with Entities, Attributes and Relations. - Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (IJCAI, 2016)

Crossmodal Language Grounding, Learning, and Teaching. - Stefan Heinrich; Cornelius Weber; Stefan Wermter; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001 (CoCo@NIPS, 2016)

Neural Relation Extraction with Multi-lingual Attention. - Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2017)

Incorporating Relation Paths in Neural Relation Extraction. - Wenyuan Zeng; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2017)

Recent Advances on Neural Headline Generation. - Ayana; Shiqi Shen; Yankai Lin; Cun-Chao Tu; Yu Zhao 040; Zhiyuan Liu 001; Maosong Sun 001 (J. Comput. Sci. Technol., 2017)

Improving Neural Fine-Grained Entity Typing With Knowledge Attention. - Ji Xin; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (AAAI, 2018)

Denoising Distantly Supervised Open-Domain Question Answering. - Yankai Lin; Haozhe Ji; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2018)

Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. - Yankai Lin; Farhad Farokhi; Iman Shames; Dragan Nesic (CDC, 2018)

Adversarial Multi-lingual Neural Relation Extraction. - Xiaozhi Wang; Xu Han 007; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (COLING, 2018)

OpenKE: An Open Toolkit for Knowledge Embedding. - Xu Han 007; Shulin Cao; Xin Lv; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001; Juanzi Li (EMNLP (Demonstration), 2018)

Cross-lingual Lexical Sememe Prediction. - Fanchao Qi; Yankai Lin; Maosong Sun 001; Hao Zhu 006; Ruobing Xie; Zhiyuan Liu 001 (EMNLP, 2018)

Knowledge Representation Learning: A Quantitative Review. - Yankai Lin; Xu Han 007; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2018)

XQA: A Cross-lingual Open-domain Question Answering Dataset. - Jiahua Liu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2019)

DocRED: A Large-Scale Document-Level Relation Extraction Dataset. - Yuan Yao 013; Deming Ye; Peng Li 030; Xu Han 007; Yankai Lin; Zhenghao Liu 001; Zhiyuan Liu 001; Lixin Huang; Jie Zhou 016; Maosong Sun 001 (ACL (1), 2019)

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. - Shun Zheng 001; Xu Han 007; Yankai Lin; Peilin Yu; Lu Chen; Ling Huang 001; Zhiyuan Liu 001; Wei Xu 005 (ACL (1), 2019)

Graph Neural Networks with Generated Parameters for Relation Extraction. - Hao Zhu 006; Yankai Lin; Zhiyuan Liu 001; Jie Fu 001; Tat-Seng Chua; Maosong Sun 001 (ACL (1), 2019)

Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Ascent. - Yankai Lin; Iman Shames; Dragan Nesic (CDC, 2019)

NumNet: Machine Reading Comprehension with Numerical Reasoning. - Qiu Ran; Yankai Lin; Peng Li 030; Jie Zhou 016; Zhiyuan Liu 001 (EMNLP/IJCNLP (1), 2019)

Fact Discovery from Knowledge Base via Facet Decomposition. - Zihao Fu; Yankai Lin; Zhiyuan Liu 001; Wai Lam (NAACL-HLT (1), 2019)

Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network. - Deming Ye; Yankai Lin; Zhenghao Liu 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2019)

Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks. - Deli Chen; Xiaoqian Liu; Yankai Lin; Peng Li 030; Jie Zhou 016; Qi Su 001; Xu Sun 001 (CoRR, 2019)

Representation Learning for Natural Language Processing - Zhiyuan Liu 001; Yankai Lin; Maosong Sun 001 (Springer, 2020)

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. - Deli Chen; Yankai Lin; Wei Li 101; Peng Li 030; Jie Zhou 016; Xu Sun 001 (AAAI, 2020)

Continual Relation Learning via Episodic Memory Activation and Reconsolidation. - Xu Han 007; Yi Dai; Tianyu Gao 001; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (ACL, 2020)

Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. - Qiu Ran; Yankai Lin; Peng Li 030; Jie Zhou 016 (ACL, 2020)

Disentangle-based Continual Graph Representation Learning. - Xiaoyu Kou; Yankai Lin; Shaobo Liu; Peng Li 030; Jie Zhou 016; Yan Zhang 004 (EMNLP (1), 2020)

Learning from Context or Names? An Empirical Study on Neural Relation Extraction. - Hao Peng 015; Tianyu Gao 001; Xu Han 007; Yankai Lin; Peng Li 030; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (1), 2020)

MAVEN: A Massive General Domain Event Detection Dataset. - Xiaozhi Wang; Ziqi Wang 003; Xu Han 007; Wangyi Jiang; Rong Han; Zhiyuan Liu 001; Juanzi Li; Peng Li 030; Yankai Lin; Jie Zhou 016 (EMNLP (1), 2020)

Coreferential Reasoning Learning for Language Representation. - Deming Ye; Yankai Lin; Jiaju Du; Zhenghao Liu 001; Peng Li 030; Maosong Sun 001; Zhiyuan Liu 001 (EMNLP (1), 2020)

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. - Xu Han 007; Tianyu Gao 001; Yankai Lin; Hao Peng 015; Yaoliang Yang; Chaojun Xiao; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016; Maosong Sun 001 (AACL/IJCNLP, 2020)

Coreferential Reasoning Learning for Language Representation. - Deming Ye; Yankai Lin; Jiaju Du; Zhenghao Liu 001; Maosong Sun 001; Zhiyuan Liu 001 (CoRR, 2020)

Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. - YuSheng Su; Xu Han 007; Zhengyan Zhang; Peng Li 030; Zhiyuan Liu 001; Yankai Lin; Jie Zhou 016; Maosong Sun 001 (CoRR, 2020)

Accelerating Pre-trained Language Models via Calibrated Cascade. - Lei Li 039; Yankai Lin; Shuhuai Ren; Deli Chen; Xuancheng Ren; Peng Li 030; Jie Zhou 016; Xu Sun 001 (CoRR, 2020)

Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. - Huimin Chen; Yankai Lin; Fanchao Qi; Jinyi Hu; Peng Li 030; Jie Zhou 016; Maosong Sun 001 (AAAI, 2021)

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. - Qiu Ran; Yankai Lin; Peng Li 030; Jie Zhou 016 (AAAI, 2021)

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. - Tianyu Gao 001; Xu Han 007; Yuzhuo Bai; Keyue Qiu; Zhiyu Xie 001; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (ACL/IJCNLP (Findings), 2021)

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. - Yujia Qin; Yankai Lin; Ryuichi Takanobu; Zhiyuan Liu 001; Peng Li 030; Heng Ji 001; Minlie Huang; Maosong Sun 001; Jie Zhou 016 (ACL/IJCNLP (1), 2021)

CLEVE: Contrastive Pre-training for Event Extraction. - Ziqi Wang 003; Xiaozhi Wang; Xu Han 007; Yankai Lin; Lei Hou 001; Zhiyuan Liu 001; Peng Li 030; Juanzi Li; Jie Zhou 016 (ACL/IJCNLP (1), 2021)

Rethinking Stealthiness of Backdoor Attack against NLP Models. - Wenkai Yang; Yankai Lin; Peng Li 030; Jie Zhou 016; Xu Sun 001 (ACL/IJCNLP (1), 2021)

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. - Jifan Yu; Yuquan Wang; Qingyang Zhong; Gan Luo; Yiming Mao 005; Kai Sun; Wenzheng Feng; Wei Xu 017; Shulin Cao; Kaisheng Zeng; Zijun Yao 002; Lei Hou 001; et al. (CIKM, 2021)

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade. - Lei Li 039; Yankai Lin; Deli Chen; Shuhuai Ren; Peng Li 030; Jie Zhou 016; Xu Sun 001 (EMNLP (Findings), 2021)

Dynamic Knowledge Distillation for Pre-trained Language Models. - Lei Li 039; Yankai Lin; Shuhuai Ren; Peng Li 030; Jie Zhou 016; Xu Sun 001 (EMNLP (1), 2021)

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. - Wenkai Yang; Yankai Lin; Peng Li 030; Jie Zhou 016; Xu Sun 001 (EMNLP (1), 2021)

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild. - Yuan Yao 013; Jiaju Du; Yankai Lin; Peng Li 030; Zhiyuan Liu 001; Jie Zhou 016; Maosong Sun 001 (EMNLP (1), 2021)

TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. - Deming Ye; Yankai Lin; Yufei Huang 008; Maosong Sun 001 (NAACL-HLT, 2021)

Topology-Imbalance Learning for Semi-Supervised Node Classification. - Deli Chen; Yankai Lin; Guangxiang Zhao; Xuancheng Ren; Peng Li 030; Jie Zhou 016; Xu Sun 001 (NeurIPS, 2021)

CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. - Yusheng Su; Xu Han 007; Zhengyan Zhang; Yankai Lin; Peng Li 030; Zhiyuan Liu 001; Jie Zhou 016; Maosong Sun 001 (AI Open, 2021)

Representation Learning for Natural Language Processing. - Zhiyuan Liu 001; Yankai Lin; Maosong Sun 001 (CoRR, 2021)

CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. - YuSheng Su; Xu Han 007; Yankai Lin; Zhengyan Zhang; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001 (CoRR, 2021)

Pack Together: Entity and Relation Extraction with Levitated Marker. - Deming Ye; Yankai Lin; Maosong Sun 001 (CoRR, 2021)

MoEfication: Conditional Computation of Transformer Models for Efficient Inference. - Zhengyan Zhang; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (CoRR, 2021)

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. - Yujia Qin; Xiaozhi Wang; YuSheng Su; Yankai Lin; Ning Ding 002; Zhiyuan Liu 001; Juanzi Li; Lei Hou 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (CoRR, 2021)

On Transferability of Prompt Tuning for Natural Language Understanding. - YuSheng Su; Xiaozhi Wang; Yujia Qin; Chi-Min Chan; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Juanzi Li; Lei Hou 001; Maosong Sun 001; Jie Zhou 016 (CoRR, 2021)

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. - Lei Li 039; Yankai Lin; Xuancheng Ren; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (CoRR, 2021)

CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. - YuSheng Su; Xu Han 007; Yankai Lin; Zhengyan Zhang; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016; Maosong Sun 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. - Yankai Lin; Iman Shames; Dragan Nesic (IEEE Trans. Control. Netw. Syst., 2021)

Optimization and security in networked control systems. - Yankai Lin (2021)

Fully Hyperbolic Neural Networks. - Weize Chen; Xu Han 007; Yankai Lin; Hexu Zhao; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (ACL (1), 2022)

On Length Divergence Bias in Textual Matching Models. - Lan Jiang; Tianshu Lyu; Yankai Lin; Chong Meng; Xiaoyong Lyu; Dawei Yin (ACL (Findings), 2022)

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. - Pei Ke; Hao Zhou 012; Yankai Lin; Peng Li 030; Jie Zhou 016; Xiaoyan Zhu 001; Minlie Huang (ACL (1), 2022)

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. - Xin Lv; Yankai Lin; Yixin Cao 002; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016 (ACL (Findings), 2022)

ELLE: Efficient Lifelong Pre-training for Emerging Data. - Yujia Qin; Jiajie Zhang; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2022)

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. - Deming Ye; Yankai Lin; Peng Li 030; Maosong Sun 001; Zhiyuan Liu 001 (ACL (2), 2022)

Packed Levitated Marker for Entity and Relation Extraction. - Deming Ye; Yankai Lin; Peng Li 030; Maosong Sun 001 (ACL (1), 2022)

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. - Zhengyan Zhang; Yankai Lin; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2022)

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. - Zichun Yu; Tianyu Gao 001; Zhengyan Zhang; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (COLING, 2022)

ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. - Lan Jiang; Hao Zhou 012; Yankai Lin; Peng Li 030; Jie Zhou 016; Rui Jiang (EMNLP, 2022)

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. - Lei Li 039; Yankai Lin; Xuancheng Ren; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (EMNLP (Findings), 2022)

Exploring Mode Connectivity for Pre-trained Language Models. - Yujia Qin; Cheng Qian 008; Jing Yi; Weize Chen; Yankai Lin; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP, 2022)

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. - Xiaozhi Wang; Yulin Chen; Ning Ding 002; Hao Peng 015; Zimu Wang; Yankai Lin; Xu Han 007; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Peng Li 030; Jie Zhou 016 (EMNLP, 2022)

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning. - Jing Yi; Weize Chen; Yujia Qin; Yankai Lin; Ning Ding 002; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (Findings), 2022)

Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. - Deli Chen; Yankai Lin; Lei Li 039; Xuancheng Ren; Peng Li 030; Jie Zhou 016; Xu Sun 001 (IJCAI, 2022)

Knowledge Inheritance for Pre-trained Language Models. - Yujia Qin; Yankai Lin; Jing Yi; Jiajie Zhang; Xu Han 007; Zhengyan Zhang; Yusheng Su; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (NAACL-HLT, 2022)

On Transferability of Prompt Tuning for Natural Language Processing. - Yusheng Su; Xiaozhi Wang; Yujia Qin; Chi-Min Chan; Yankai Lin; Huadong Wang; Kaiyue Wen; Zhiyuan Liu 001; Peng Li 030; Juanzi Li; Lei Hou 001; Maosong Sun 001; et al. (NAACL-HLT, 2022)

Towards a General Pre-training Framework for Adaptive Learning in MOOCs. - Qingyang Zhong; Jifan Yu; Zheyuan Zhang; Yiming Mao 005; Yuquan Wang; Yankai Lin; Lei Hou 001; Juanzi Li; Jie Tang 001 (CoRR, 2022)

Manual-Guided Dialogue for Flexible Conversational Agents. - Ryuichi Takanobu; Hao Zhou 012; Yankai Lin; Peng Li 030; Jie Zhou 016; Minlie Huang (CoRR, 2022)

Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension. - Xin Lv; Yankai Lin; Zijun Yao 002; Kaisheng Zeng; Jiajie Zhang; Lei Hou 001; Juanzi Li (CoRR, 2022)

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning. - Jing Yi; Weize Chen; Yujia Qin; Yankai Lin; Ning Ding 002; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (CoRR, 2022)

Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks. - Yankai Lin; Michelle S. Chong; Carlos Murguia (CoRR, 2022)

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. - Weize Chen; Xu Han 007; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2023)

Decouple knowledge from paramters for plug-and-play language modeling. - Xin Cheng 002; Yankai Lin; Xiuying Chen; Dongyan Zhao 001; Rui Yan 001 (ACL (Findings), 2023)

WebCPM: Interactive Web Search for Chinese Long-form Question Answering. - Yujia Qin; Zihan Cai; Dian Jin; Lan Yan; Shihao Liang; Kunlun Zhu; Yankai Lin; Xu Han 007; Ning Ding 002; Huadong Wang; Ruobing Xie; Fanchao Qi; et al. (ACL (1), 2023)

Recyclable Tuning for Continual Pre-training. - Yujia Qin; Cheng Qian 008; Xu Han 007; Yankai Lin; Huadong Wang; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2023)

Plug-and-Play Document Modules for Pre-trained Models. - Chaojun Xiao; Zhengyan Zhang; Xu Han 007; Chi-Min Chan; Yankai Lin; Zhiyuan Liu 001; Xiangyang Li; Zhonghua Li; Zhao Cao; Maosong Sun 001 (ACL (1), 2023)

Plug-and-Play Knowledge Injection for Pre-trained Language Models. - Zhengyan Zhang; Zhiyuan Zeng; Yankai Lin; Huadong Wang; Deming Ye; Chaojun Xiao; Xu Han 007; Zhiyuan Liu 001; Peng Li 030; Maosong Sun 001; Jie Zhou 016 (ACL (1), 2023)

Emergent Modularity in Pre-trained Transformers. - Zhengyan Zhang; Zhiyuan Zeng; Yankai Lin; Chaojun Xiao; Xiaozhi Wang; Xu Han 007; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2023)

Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts. - Jifan Yu; Hanming Li; Gan Luo; Yankai Lin; Peng Li 030; Jianjun Xu; Lei Hou 001; Bin Xu 001 (APWeb/WAIM (4), 2023)

Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. - Yankai Lin; Michelle S. Chong; Carlos Murguia (CDC, 2023)

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. - Weize Chen; Xiaoyue Xu; Xu Han 007; Yankai Lin; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (Findings), 2023)

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. - Yusheng Su; Chi-Min Chan; Jiali Cheng; Yujia Qin; Yankai Lin; Shengding Hu; Zonghan Yang; Ning Ding 002; Xingzhi Sun 002; Guotong Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2023)

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. - Chaojun Xiao; Yuqi Luo; Wenbin Zhang; Pengle Zhang; Xu Han 007; Yankai Lin; Zhengyan Zhang; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (Findings), 2023)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models. - Deming Ye; Yankai Lin; Zhengyan Zhang; Maosong Sun 001 (CoRR, 2023)

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. - Yusheng Su; Chi-Min Chan; Jiali Cheng; Yujia Qin; Yankai Lin; Shengding Hu; Zonghan Yang; Ning Ding 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

RecAgent: A Novel Simulation Paradigm for Recommender Systems. - Lei Wang 198; Jingsen Zhang; Xu Chen 017; Yankai Lin; Ruihua Song; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2023)

Towards Codable Text Watermarking for Large Language Models. - Lean Wang; Wenkai Yang; Deli Chen; Hao Zhou 012; Yankai Lin; Fandong Meng; Jie Zhou 016; Xu Sun 001 (CoRR, 2023)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Runchu Tian; et al. (CoRR, 2023)

Large Language Model as Autonomous Decision Maker. - Yining Ye; Xin Cong; Yujia Qin; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Unlock Predictable Scaling from Emergent Abilities. - Shengding Hu; Xin Liu; Xu Han 007; Xinrong Zhang; Chaoqun He; Weilin Zhao; Yankai Lin; Ning Ding 002; Zebin Ou; Guoyang Zeng; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Don't Make Your LLM an Evaluation Benchmark Cheater. - Kun Zhou 002; Yutao Zhu 001; Zhipeng Chen 001; Wentong Chen; Wayne Xin Zhao; Xu Chen 017; Yankai Lin; Ji-Rong Wen; Jiawei Han (CoRR, 2023)

Enabling Large Language Models to Learn from Rules. - Wenkai Yang; Yankai Lin; Jie Zhou 016; Jirong Wen (CoRR, 2023)

ProAgent: From Robotic Process Automation to Agentic Process Automation. - Yining Ye; Xin Cong; Shizuo Tian; Jiannan Cao; Hao Wang 139; Yujia Qin; Yaxi Lu; Heyang Yu; Huadong Wang; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension. - Bohan Lyu 001; Xin Cong; Heyang Yu; Pan Yang 022; Yujia Qin; Yining Ye; Yaxi Lu; Zhong Zhang; Yukun Yan; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. - Wenkai Yang; Yankai Lin; Guangxiang Zhao; Peng Li 030; Jie Zhou 016; Xu Sun 001 (Trans. Mach. Learn. Res., 2023)

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. - Cheng Qian 008; Bingxiang He; Zhong Zhuang; Jia Deng; Yujia Qin; Xin Cong; Zhong Zhang; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2024)

DebugBench: Evaluating Debugging Capability of Large Language Models. - Runchu Tian; Yining Ye; Yujia Qin; Xin Cong; Yankai Lin; Yinxu Pan; Yesai Wu; Haotian Hui; Weichuan Liu; Zhiyuan Liu 001; Maosong Sun 001 (ACL (Findings), 2024)

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. - Xiaozhi Wang; Hao Peng 015; Yong Guan; Kaisheng Zeng; Jianhui Chen; Lei Hou 001; Xu Han 007; Yankai Lin; Zhiyuan Liu 001; Ruobing Xie; Jie Zhou 016; Juanzi Li (ACL (1), 2024)

Towards Tool Use Alignment of Large Language Models. - Zhiyuan Chen; Shiqi Shen; Guangyao Shen; Gong Zhi; Xu Chen 017; Yankai Lin (EMNLP, 2024)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving. - Xueyang Feng; Zhiyuan Chen; Yujia Qin; Yankai Lin; Xu Chen 017; Zhiyuan Liu 001; Ji-Rong Wen (EMNLP (Findings), 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Zexu Sun; Bowen Sun; Huimin Chen; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2024)

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. - Jiarui Ji; Yang Li; Hongtao Liu; Zhicheng Du; Zhewei Wei; Qi Qi; Weiran Shen; Yankai Lin (EMNLP (Findings), 2024)

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages. - Jinyi Hu; Yuan Yao 013; Chongyi Wang; Shan Wang 015; Yinxu Pan; Qianyu Chen; Tianyu Yu 002; Hanghao Wu; Yue Zhao; Haoye Zhang; Xu Han 007; Yankai Lin; et al. (ICLR, 2024)

Predicting Emergent Abilities with Infinite Resolution Evaluation. - Shengding Hu; Xin Liu; Xu Han 007; Xinrong Zhang; Chaoqun He; Weilin Zhao; Yankai Lin; Ning Ding 002; Zebin Ou; Guoyang Zeng; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2024)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Lauren Hong; et al. (ICLR, 2024)

Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. - Lean Wang; Wenkai Yang; Deli Chen; Hao Zhou 012; Yankai Lin; Fandong Meng; Jie Zhou 016; Xu Sun 001 (ICLR, 2024)

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. - Ganqu Cui; Lifan Yuan; Ning Ding 002; Guanming Yao; Bingxiang He; Wei Zhu 016; Yuan Ni; Guotong Xie; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICML, 2024)

Exploring the Benefit of Activation Sparsity in Pre-training. - Zhengyan Zhang; Chaojun Xiao; Qiujieli Qin; Yankai Lin; Zhiyuan Zeng; Xu Han 007; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Jie Zhou 016 (ICML, 2024)

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory. - Chaojun Xiao; Pengle Zhang; Xu Han 007; Guangxuan Xiao; Yankai Lin; Zhengyan Zhang; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 2024)

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents. - Wenkai Yang; Xiaohan Bi; Yankai Lin; Sishuo Chen; Jie Zhou 016; Xu Sun 001 (NeurIPS, 2024)

Large Language Model Powered Agents for Information Retrieval. - An Zhang 003; Yang Deng 002; Yankai Lin; Xu Chen 017; Ji-Rong Wen; Tat-Seng Chua (SIGIR, 2024)

Empowering Large Language Models: Tool Learning for Real-World Interaction. - Hongru Wang 003; Yujia Qin; Yankai Lin; Jeff Z. Pan; Kam-Fai Wong (SIGIR, 2024)

USimAgent: Large Language Models for Simulating Search Users. - Erhan Zhang; Xingzhu Wang; Peiyuan Gong; Yankai Lin; Jiaxin Mao (SIGIR, 2024)

Large Language Model Powered Agents in the Web. - Yang Deng 002; An Zhang 003; Yankai Lin; Xu Chen 017; Ji-Rong Wen; Tat-Seng Chua (WWW (Companion Volume), 2024)

Online convex optimization using coordinate descent algorithms. - Yankai Lin; Iman Shames; Dragan Nesic (Autom., 2024)

DebugBench: Evaluating Debugging Capability of Large Language Models. - Runchu Tian; Yining Ye; Yujia Qin; Xin Cong; Yankai Lin; Yinxu Pan; Yesai Wu; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution. - Cheng Qian 008; Shihao Liang; Yujia Qin; Yining Ye; Xin Cong; Yankai Lin; Yesai Wu; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

UniMem: Towards a Unified View of Long-Context Large Language Models. - Junjie Fang; Likai Tang; Hongzhe Bi; Yujia Qin; Si Sun; Zhenyu Li; Haolun Li 003; Yongjian Li; Xin Cong; Yukun Yan; Xiaodong Shi; Sen Song; et al. (CoRR, 2024)

ReLU2 Wins: Discovering Efficient Activation Functions for Sparse LLMs. - Zhengyan Zhang; Yixin Song; Guanghui Yu; Xu Han 007; Yankai Lin; Chaojun Xiao; Chenyang Song; Zhiyuan Liu 001; Zeyu Mi; Maosong Sun 001 (CoRR, 2024)

InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory. - Chaojun Xiao; Pengle Zhang; Xu Han 007; Guangxuan Xiao; Yankai Lin; Zhengyan Zhang; Zhiyuan Liu 001; Song Han 003; Maosong Sun 001 (CoRR, 2024)

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation. - Qinyu Luo; Yining Ye; Shihao Liang; Zhong Zhang; Yujia Qin; Yaxi Lu; Yesai Wu; Xin Cong; Yankai Lin; Yingli Zhang; Xiaoyin Che; Zhiyuan Liu 001; et al. (CoRR, 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Jiexin Wang; Huimin Chen; Bowen Sun; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

GUICourse: From General Vision Language Models to Versatile GUI Agents. - Wentong Chen; Junbo Cui; Jinyi Hu; Yujia Qin; Junjie Fang; Yue Zhao; Chongyi Wang; Jun Liu; Guirong Chen; Yupeng Huo; Yuan Yao 013; Yankai Lin; et al. (CoRR, 2024)

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. - Wenkai Yang; Shiqi Shen; Guangyao Shen; Zhi Gong; Yankai Lin (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

Configurable Foundation Models: Building LLMs from a Modular Perspective. - Chaojun Xiao; Zhengyan Zhang; Chenyang Song; Dazhi Jiang; Feng Yao; Xu Han 007; Xiaozhi Wang; Shuo Wang 013; Yufei Huang 008; Guanyu Lin; Yingfa Chen; Weilin Zhao; et al. (CoRR, 2024)

GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Jiakai Tang; Heyang Gao; Xuchen Pan; Lei Wang 198; Haoran Tan; Dawei Gao; Yushuo Chen; Xu Chen 017; Yankai Lin; Yaliang Li; Bolin Ding; Jingren Zhou 001; et al. (CoRR, 2024)

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (CoRR, 2024)

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. - Runchu Tian; Yanghao Li; Yuepeng Fu; Siyang Deng; Qinyu Luo; Cheng Qian 008; Shuo Wang; Xin Cong; Zhong Zhang; Yesai Wu; Yankai Lin; Huadong Wang; et al. (CoRR, 2024)

Hyperbolic Pre-Trained Language Model. - Weize Chen; Xu Han 007; Yankai Lin; Kaichen He; Ruobing Xie; Jie Zhou 016; Zhiyuan Liu 001; Maosong Sun 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. - Yujia Qin; Xiaozhi Wang; Yusheng Su; Yankai Lin; Ning Ding 002; Jing Yi; Weize Chen; Zhiyuan Liu 001; Juanzi Li; Lei Hou 001; Peng Li 030; Maosong Sun 001; et al. (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A survey on large language model based autonomous agents. - Lei Wang 198; Chen Ma 001; Xueyang Feng; Zeyu Zhang 007; Hao Yang; Jingsen Zhang; Zhiyuan Chen; Jiakai Tang; Xu Chen 017; Yankai Lin; Wayne Xin Zhao; Zhewei Wei; et al. (Frontiers Comput. Sci., 2024)

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub. - Bohan Lyu 001; Xin Cong; Heyang Yu; Pan Yang 022; Cheng Qian 008; Zihe Wang; Yujia Qin; Yining Ye; Yaxi Lu; Chen Qian; Zhong Zhang; Yukun Yan; et al. (ACL (1), 2025)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

GUICourse: From General Vision Language Model to Versatile GUI Agent. - Wentong Chen; Junbo Cui; Jinyi Hu; Yujia Qin; Junjie Fang; Yue Zhao; Chongyi Wang; Jun Liu; Guirong Chen; Yupeng Huo; Yuan Yao; Yankai Lin; et al. (ACL (1), 2025)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Xu Chen 017; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (ACL (Findings), 2025)

Learning to Generate Structured Output with Schema Reinforcement Learning. - Yaxi Lu; Haolun Li 003; Xin Cong; Zhong Zhang; Yesai Wu; Yankai Lin; Zhiyuan Liu 001; Fangming Liu; Maosong Sun 001 (ACL (1), 2025)

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. - Runchu Tian; Yanghao Li; Yuepeng Fu; Siyang Deng; Qinyu Luo; Cheng Qian; Shuo Wang; Xin Cong; Zhong Zhang; Yesai Wu; Yankai Lin; Huadong Wang; et al. (ACL (Findings), 2025)

AgentRM: Enhancing Agent Generalization with Reward Modeling. - Yu Xia; Jingru Fan; Weize Chen; Siyu Yan; Xin Cong; Zhong Zhang; Yaxi Lu; Yankai Lin; Zhiyuan Liu; Maosong Sun 001 (ACL (1), 2025)

Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL. - Wei Yao 017; Wenkai Yang; Ziqiao Wang; Yankai Lin; Yong Liu 018 (ACL (Findings), 2025)

ICLEval: Evaluating In-Context Learning Ability of Large Language Models. - Wentong Chen; Yankai Lin; ZhenHao Zhou; HongYun Huang; Yantao Jia; Zhao Cao; Ji-Rong Wen (COLING, 2025)

Exploring Backdoor Vulnerabilities of Chat Models. - Wenkai Yang; Yunzhuo Hao; Yankai Lin (COLING, 2025)

Distilling Rule-based Knowledge into Large Language Models. - Wenkai Yang; Yankai Lin; Jie Zhou; Ji-Rong Wen (COLING, 2025)

Learning Evolving Tools for Large Language Models. - Guoxin Chen; Zhong Zhang; Xin Cong; Fangda Guo; Yesai Wu; Yankai Lin; Wenzheng Feng; Yasheng Wang (ICLR, 2025)

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. - Shengda Fan; Xin Cong; Yuepeng Fu; Zhong Zhang; Shuyan Zhang; Yuanwei Liu; Yesai Wu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance. - Yaxi Lu; Shenzhi Yang; Cheng Qian 008; Guirong Chen; Qinyu Luo; Yesai Wu; Huadong Wang; Xin Cong; Zhong Zhang; Yankai Lin; Weiwen Liu; Yasheng Wang; et al. (ICLR, 2025)

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. - Zexu Sun; Yiju Guo; Yankai Lin; Xu Chen 017; Qi Qi 003; Xing Tang 007; Xiuqiang He 001; Ji-Rong Wen (ICLR, 2025)

Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. - Wenkai Yang; Shiqi Shen; Guangyao Shen; Wei Yao 017; Yong Liu 018; Gong Zhi; Yankai Lin; Ji-Rong Wen (ICLR, 2025)

Rational Decision-Making Agent with Learning Internal Utility Judgment. - Yining Ye; Xin Cong; Shizuo Tian; Yujia Qin; Chong Liu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. - Zeyu Zhang 007; Jianxun Lian; Chen Ma 001; Yaning Qu; Ye Luo; Lei Wang 198; Rui Li 086; Xu Chen 017; Yankai Lin; Le Wu; Xing Xie 001; Ji-Rong Wen (NAACL (Findings), 2025)

Understanding the Capabilities and Limitations of Weak-to-Strong Generalization. - Wei Yao 017; Wenkai Yang; Ziqiao Wang; Yankai Lin; Yong Liu 018 (CoRR, 2025)

Large Language Diffusion Models. - Shen Nie; Fengqi Zhu; Zebin You; Xiaolu Zhang; Jingyang Ou; Jun Hu; Jun Zhou 011; Yankai Lin; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)

Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning. - Wenkai Yang; Shuming Ma; Yankai Lin; Furu Wei (CoRR, 2025)

AgentRM: Enhancing Agent Generalization with Reward Modeling. - Yu Xia; Jingru Fan; Weize Chen; Siyu Yan; Xin Cong; Zhong Zhang; Yaxi Lu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

User Behavior Simulation with Large Language Model-based Agents. - Lei Wang 198; Jingsen Zhang; Hao Yang 045; Zhiyuan Chen; Jiakai Tang; Zeyu Zhang 007; Xu Chen 017; Yankai Lin; Hao Sun 002; Ruihua Song; Xin Zhao 018; Jun Xu 001; et al. (ACM Trans. Inf. Syst., 2025)

Secondary Safety Control for Systems with Sector Bounded Nonlinearities [Extended Version]. - Yankai Lin; Michelle S. Chong; Carlos Murguia (CoRR, 2025)

Modified Control Barrier Function for Quadratic Program Based Control Design via Sum-of-Squares Programming. - Yankai Lin; Michelle S. Chong; Carlos Murguia (CoRR, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)

DeepCritic: Deliberate Critique with Large Language Models. - Wenkai Yang; Jingwen Chen; Yankai Lin; Ji-Rong Wen (CoRR, 2025)

ToLeaP: Rethinking Development of Tool Learning with Large Language Models. - Haotian Chen; Zijun Song; Boye Niu; Ke Zhang; Litu Ou; Yaxi Lu; Zhong Zhang; Xin Cong; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. - Fengqi Zhu; Rongzhen Wang; Shen Nie; Xiaolu Zhang; Chunwei Wu; Jun Hu; Jun Zhou 011; Jianfei Chen; Yankai Lin; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning. - Zhong Zhang; Yaxi Lu; Yikun Fu; Yupeng Huo; Shenzhi Yang; Yesai Wu; Han Si; Xin Cong; Haotian Chen; Yankai Lin; Jie Xie; Wei Zhou; et al. (CoRR, 2025)

Beyond the Surface: Measuring Self-Preference in LLM Judgments. - Zhi-Yuan Chen; Hao Wang; Xinyu Zhang; Enrui Hu; Yankai Lin (CoRR, 2025)

Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning. - Yiju Guo; Wenkai Yang; Zexu Sun; Ning Ding 002; Zhiyuan Liu 001; Yankai Lin (CoRR, 2025)

MiniCPM4: Ultra-Efficient LLMs on End Devices. - Chaojun Xiao; Yuxuan Li; Xu Han 007; Yuzhuo Bai; Jie Cai; Haotian Chen; Wentong Chen; Xin Cong; Ganqu Cui; Ning Ding 002; Shengda Fan; Yewei Fang; et al. (CoRR, 2025)