Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. - Yiwei Wang 001; Mark James Carman; Yuan-Fang Li (CIKM, 2017)

Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM. - Licheng Zhao; Yiwei Wang 001; Sandeep Kumar 005; Daniel P. Palomar (IEEE Trans. Signal Process., 2019)

Learning Progressive Joint Propagation for Human Motion Prediction. - Yujun Cai; Lin Huang 004; Yiwei Wang 001; Tat-Jen Cham; Jianfei Cai 001; Junsong Yuan 001; Jun Liu 036; Xu Yang 021; Yiheng Zhu 003; Xiaohui Shen; Ding Liu; Jing Liu 050; et al. (ECCV (7), 2020)

Provably Robust Node Classification via Low-Pass Message Passing. - Yiwei Wang 001; Shenghua Liu; Minji Yoon; Hemank Lamba; Wei Wang 059; Christos Faloutsos; Bryan Hooi (ICDM, 2020)

Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers. - Yiwei Wang 001; Wei Wang 059; Yujun Cai; Bryan Hooi; Beng Chin Ooi (ISSRE, 2020)

NodeAug: Semi-Supervised Node Classification with Data Augmentation. - Yiwei Wang 001; Wei Wang 059; Yuxuan Liang; Yujun Cai; Juncheng Liu; Bryan Hooi (KDD, 2020)

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. - Yuxuan Liang; Kun Ouyang; Yiwei Wang 001; Ye Liu 002; Junbo Zhang; Yu Zheng 004; David S. Rosenblum (ECML/PKDD (1), 2020)

Progressive Supervision for Node Classification. - Yiwei Wang 001; Wei Wang 059; Yuxuan Liang; Yujun Cai; Bryan Hooi (ECML/PKDD (1), 2020)

GraphCrop: Subgraph Cropping for Graph Classification. - Yiwei Wang 001; Wei Wang 059; Yuxuan Liang; Yujun Cai; Bryan Hooi (CoRR, 2020)

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes. - Juncheng Liu; Yiwei Wang 001; Bryan Hooi; Renchi Yang; Xiaokui Xiao (CoRR, 2020)

A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗. - Yujun Cai; Yiwei Wang 001; Yiheng Zhu 003; Tat-Jen Cham; Jianfei Cai 001; Junsong Yuan 001; Jun Liu 036; Chuanxia Zheng; Sijie Yan; Henghui Ding; Xiaohui Shen; Ding Liu; et al. (ICCV, 2021)

Modeling Trajectories with Neural Ordinary Differential Equations. - Yuxuan Liang; Kun Ouyang; Hanshu Yan; Yiwei Wang 001; Zekun Tong; Roger Zimmermann (IJCAI, 2021)

EIGNN: Efficient Infinite-Depth Graph Neural Networks. - Juncheng Liu; Kenji Kawaguchi; Bryan Hooi; Yiwei Wang 001; Xiaokui Xiao (NeurIPS, 2021)

Adaptive Data Augmentation on Temporal Graphs. - Yiwei Wang 001; Yujun Cai; Yuxuan Liang; Henghui Ding; Changhu Wang; Siddharth Bhatia 001; Bryan Hooi (NeurIPS, 2021)

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. - Siddharth Bhatia 001; Yiwei Wang 001; Bryan Hooi; Tanmoy Chakraborty 002 (ECML/PKDD (2), 2021)

Fine-Grained Urban Flow Prediction. - Yuxuan Liang; Kun Ouyang; Junkai Sun; Yiwei Wang 001; Junbo Zhang; Yu Zheng 004; David S. Rosenblum; Roger Zimmermann (WWW, 2021)

CurGraph: Curriculum Learning for Graph Classification. - Yiwei Wang 001; Wei Wang 059; Yuxuan Liang; Yujun Cai; Bryan Hooi (WWW, 2021)

Mixup for Node and Graph Classification. - Yiwei Wang 001; Wei Wang 059; Yuxuan Liang; Yujun Cai; Bryan Hooi (WWW, 2021)

Structure-Aware Label Smoothing for Graph Neural Networks. - Yiwei Wang 001; Yujun Cai; Yuxuan Liang; Wei Wang 059; Henghui Ding; Muhao Chen 001; Jing Tang 004; Bryan Hooi (CoRR, 2021)

Time-Aware Neighbor Sampling for Temporal Graph Networks. - Yiwei Wang 001; Yujun Cai; Yuxuan Liang; Henghui Ding; Changhu Wang; Bryan Hooi (CoRR, 2021)

TrajFormer: Efficient Trajectory Classification with Transformers. - Yuxuan Liang; Kun Ouyang; Yiwei Wang 001; Xu Liu 014; Hongyang Chen; Junbo Zhang; Yu Zheng 004; Roger Zimmermann (CIKM, 2022)

Time-Aware Neighbor Sampling on Temporal Graphs. - Yiwei Wang 001; Yujun Cai; Yuxuan Liang; Henghui Ding; Changhu Wang; Bryan Hooi (IJCNN, 2022)

Flashlight: Scalable Link Prediction With Effective Decoders. - Yiwei Wang 001; Bryan Hooi; Yozen Liu; Tong Zhao 003; Zhichun Guo; Neil Shah (LoG, 2022)

Dangling-Aware Entity Alignment with Mixed High-Order Proximities. - Juncheng Liu; Zequn Sun; Bryan Hooi; Yiwei Wang 001; Dayiheng Liu; Baosong Yang; Xiaokui Xiao; Muhao Chen 001 (NAACL-HLT (Findings), 2022)

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. - Yiwei Wang 001; Muhao Chen 001; Wenxuan Zhou; Yujun Cai; Yuxuan Liang; Bryan Hooi (NAACL-HLT (Findings), 2022)

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. - Yiwei Wang 001; Muhao Chen 001; Wenxuan Zhou; Yujun Cai; Yuxuan Liang; Dayiheng Liu; Baosong Yang; Juncheng Liu; Bryan Hooi (NAACL-HLT, 2022)

LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. - Juncheng Liu; Yiwei Wang 001; Bryan Hooi; Renchi Yang; Xiaokui Xiao (ECML/PKDD (1), 2022)

AirFormer: Predicting Nationwide Air Quality in China with Transformers. - Yuxuan Liang; Yutong Xia; Songyu Ke; Yiwei Wang 001; Qingsong Wen; Junbo Zhang; Yu Zheng 004; Roger Zimmermann (AAAI, 2023)

How Fragile is Relation Extraction under Entity Replacements? - Yiwei Wang 001; Bryan Hooi; Fei Wang 060; Yujun Cai; Yuxuan Liang; Wenxuan Zhou; Jing Tang 004; Manjuan Duan; Muhao Chen 001 (CoNLL, 2023)

Primacy Effect of ChatGPT. - Yiwei Wang 001; Yujun Cai; Muhao Chen 001; Yuxuan Liang; Bryan Hooi (EMNLP, 2023)

A Causal View of Entity Bias in (Large) Language Models. - Fei Wang 060; Wenjie Mo 001; Yiwei Wang 001; Wenxuan Zhou; Muhao Chen 001 (EMNLP (Findings), 2023)

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. - Xu Liu 014; Yutong Xia; Yuxuan Liang; Junfeng Hu 001; Yiwei Wang 001; Lei Bai 001; Chao Huang 001; Zhenguang Liu; Bryan Hooi; Roger Zimmermann (NeurIPS, 2023)

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. - Yiwei Wang 001; Bryan Hooi; Yozen Liu; Neil Shah (WSDM, 2023)

Speak Like a Native: Prompting Large Language Models in a Native Style. - Zhicheng Yang; Yiwei Wang 001; Yinya Huang; Jing Xiong; Xiaodan Liang; Jing Tang 004 (CoRR, 2023)

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. - Yuxuan Liang; Kun Ouyang; Yiwei Wang 001; Zheyi Pan; Yifang Yin; Hongyang Chen; Junbo Zhang; Yu Zheng 004; David S. Rosenblum; Roger Zimmermann (IEEE Trans. Knowl. Data Eng., 2023)

LPNL: Scalable Link Prediction with Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Cheng (ACL (Findings), 2024)

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Yilong Xu; Xueqi Cheng (EMNLP (Findings), 2024)

Control Large Language Models via Divide and Conquer. - Bingxuan Li; Yiwei Wang 001; Tao Meng; Kai-Wei Chang; Nanyun Peng 001 (EMNLP, 2024)

SLANG: New Concept Comprehension of Large Language Models. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Xueqi Cheng (EMNLP, 2024)

LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. - Silin Meng; Yiwei Wang 001; Cheng-Fu Yang; Nanyun Peng 001; Kai-Wei Chang (EMNLP (Findings), 2024)

AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. - Zhicheng Yang; Yinya Huang; Jing Xiong; Liang Feng; Xiaodan Liang; Yiwei Wang 001; Jing Tang 004 (EMNLP (Findings), 2024)

Scalable and Effective Implicit Graph Neural Networks on Large Graphs. - Juncheng Liu; Bryan Hooi; Kenji Kawaguchi; Yiwei Wang 001; Chaosheng Dong; Xiaokui Xiao (ICLR, 2024)

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification. - Yihong Luo; Yuhan Chen 007; Siya Qiu; Yiwei Wang 001; Chen Zhang 013; Yan Zhou; Xiaochun Cao; Jing Tang 004 (NeurIPS, 2024)

DeepEdit: Knowledge Editing as Decoding with Constraints. - Yiwei Wang 001; Muhao Chen 001; Nanyun Peng 001; Kai-Wei Chang (CoRR, 2024)

SLANG: New Concept Comprehension of Large Language Models. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Xueqi Chen (CoRR, 2024)

Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Chen (CoRR, 2024)

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Cheng (CoRR, 2024)

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Pengliang Ji; Xueqi Cheng (CoRR, 2024)

Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis. - Zhicheng Yang; Yinya Huang; Wei Shi; Liang Feng; Linqi Song; Yiwei Wang 001; Xiaodan Liang; Jing Tang 004 (CoRR, 2024)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Junfeng Fang; Xueqi Cheng (CoRR, 2024)

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Ruibin Yuan; Xueqi Cheng (CoRR, 2024)

Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization. - Zhecheng Li; Yiwei Wang 001; Bryan Hooi; Yujun Cai; Naifan Cheung; Nanyun Peng 001; Kai-Wei Chang (CoRR, 2024)

Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory. - Xingjian Tao; Yiwei Wang 001; Yujun Cai; Zhicheng Yang; Jing Tang 004 (CoRR, 2024)

Context-DPO: Aligning Language Models for Context-Faithfulness. - Baolong Bi; Shaohan Huang; Yiwei Wang 001; Tianchi Yang; Zihan Zhang; Haizhen Huang; Lingrui Mei; Junfeng Fang; Zehao Li; Furu Wei; Weiwei Deng; Feng Sun 008; et al. (ACL (Findings), 2025)

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Junfeng Fang; Pengliang Ji; Xueqi Cheng (ACL (1), 2025)

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? - Yuyao Ge; Shenghua Liu; Baolong Bi; Yiwei Wang 001; Lingrui Mei; Wenjie Feng 001; Lizhe Chen; Xueqi Cheng (ACL (1), 2025)

METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling. - Bingxuan Li; Yiwei Wang 001; Jiuxiang Gu; Kai-Wei Chang; Nanyun Peng 001 (ACL (1), 2025)

DRS: Deep Question Reformulation With Structured Output. - Zhecheng Li; Yiwei Wang 001; Bryan Hooi; Yujun Cai; Nanyun Peng 001; Kaiwei Chang (ACL (Findings), 2025)

Vulnerability of LLMs to Vertically Aligned Text Manipulations. - Zhecheng Li; Yiwei Wang 001; Bryan Hooi; Yujun Cai; Zhen Xiong; Nanyun Peng 001; Kai-Wei Chang (ACL (1), 2025)

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Jiayi Mao; Xueqi Cheng (COLING, 2025)

Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. - Cheng Wang; Yiwei Wang 001; Bryan Hooi; Yujun Cai; Nanyun Peng 001; Kai-Wei Chang (COLING, 2025)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Hongcheng Gao; Shiyu Ni; Xueqi Cheng (ICLR, 2025)

OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. - Zhicheng Yang; Yiwei Wang 001; Yinya Huang; Zhijiang Guo; Wei Shi; Xiongwei Han; Liang Feng; Linqi Song; Xiaodan Liang; Jing Tang 004 (ICLR, 2025)

Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety. - Yiwei Wang 001; Muhao Chen 001; Nanyun Peng 001; Kai-Wei Chang (NAACL (Findings), 2025)

Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack. - Cheng Wang; Yiwei Wang 001; Yujun Cai; Bryan Hooi (NAACL (Long Papers), 2025)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. - Juncheng Liu; Chenghao Liu; Gerald Woo; Yiwei Wang 001; Bryan Hooi; Caiming Xiong; Doyen Sahoo (Trans. Mach. Learn. Res., 2025)

Disentangling CLIP Features for Enhanced Localized Understanding. - Samyak Rawlekar; Yujun Cai; Yiwei Wang 001; Ming-Hsuan Yang 001; Narendra Ahuja (CoRR, 2025)

Lost in Edits? A λ-Compass for AIGC Provenance. - Wenhao You; Bryan Hooi; Yiwei Wang 001; Euijin Choo; Ming-Hsuan Yang 001; Junsong Yuan 001; Zi Huang; Yujun Cai (CoRR, 2025)

Enhancing LLM Character-Level Manipulation via Divide and Conquer. - Zhen Xiong; Yujun Cai; Bryan Hooi; Nanyun Peng 001; Kai-Wei Chang; Zhecheng Li; Yiwei Wang 001 (CoRR, 2025)

Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment. - Jiaxi Li; Yiwei Wang 001; Kai Zhang; Yujun Cai; Bryan Hooi; Nanyun Peng 001; Kai-Wei Chang; Jin Lu (CoRR, 2025)

Structured Outputs Enable General-Purpose LLMs to be Medical Experts. - Guangfu Guo; Kai Zhang; Bryan Hooi; Yujun Cai; Xiaoqian Lu; Nanyun Peng 001; Yiwei Wang 001 (CoRR, 2025)

Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense. - Shuyang Hao; Yiwei Wang 001; Bryan Hooi; Ming-Hsuan Yang 001; Jun Liu 036; Chengcheng Tang; Zi Huang; Yujun Cai (CoRR, 2025)

Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization. - Shuyang Hao; Yiwei Wang 001; Bryan Hooi; Jun Liu 036; Muhao Chen 001; Zi Huang; Yujun Cai (CoRR, 2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Yilong Xu; Junfeng Fang; Lingrui Mei; Xueqi Cheng (CoRR, 2025)

MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks. - Wenhao You; Bryan Hooi; Yiwei Wang 001; Youke Wang; Zong Ke; Ming-Hsuan Yang 001; Zi Huang; Yujun Cai (CoRR, 2025)

Process or Result? Manipulated Ending Tokens Can Mislead Reasoning LLMs to Ignore the Correct Reasoning Steps. - Yu Cui; Bryan Hooi; Yujun Cai; Yiwei Wang 001 (CoRR, 2025)

Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. - Yuyao Ge; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Lizhe Chen; Baolong Bi; Xueqi Cheng (CoRR, 2025)

Texture or Semantics? Vision-Language Models Get Lost in Font Recognition. - Zhecheng Li; Guoxian Song; Yujun Cai; Zhen Xiong; Junsong Yuan 001; Yiwei Wang 001 (CoRR, 2025)

How does Watermarking Affect Visual Language Models in Document Understanding? - Chunxue Xu; Yiwei Wang 001; Bryan Hooi; Yujun Cai; Songze Li (CoRR, 2025)

Text Speaks Louder than Vision: ASCII Art Reveals Textual Biases in Vision-Language Models. - Zhaochen Wang; Bryan Hooi; Yiwei Wang 001; Ming-Hsuan Yang 001; Zi Huang; Yujun Cai (CoRR, 2025)

Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs. - Sifan Li; Yujun Cai; Bryan Hooi; Nanyun Peng 001; Yiwei Wang 001 (CoRR, 2025)

a1: Steep Test-time Scaling Law via Environment Augmented Generation. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Yuyao Ge; Jun Wan; Yurong Wu; Xueqi Cheng (CoRR, 2025)

Token-Efficient Prompt Injection Attack: Provoking Cessation in LLM Reasoning via Adaptive Token Compression. - Yu Cui; Yujun Cai; Yiwei Wang 001 (CoRR, 2025)

Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLM. - Zhen Xiong; Yujun Cai; Zhecheng Li; Yiwei Wang 001 (CoRR, 2025)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance. - Xuan Shen; Chenxia Han; Yufa Zhou 001; Yanyue Xie; Yifan Gong 004; Quanyi Wang; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; Jiuxiang Gu (CoRR, 2025)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. - Xuan Shen; Weize Ma; Yufa Zhou 001; Enhao Tang; Yanyue Xie; Zhengang Li; Yifan Gong 004; Quanyi Wang; Henghui Ding; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; et al. (CoRR, 2025)

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering. - Zehao Li; Hao Jiang 013; Yujun Cai; Jianing Chen; Baolong Bi; Shuqin Gao; Honglong Zhao; Yiwei Wang 001; Tianlu Mao; Zhaoqi Wang (CoRR, 2025)

SemVink: Advancing VLMs' Semantic Understanding of Optical Illusions via Visual Global Thinking. - Sifan Li; Yujun Cai; Yiwei Wang 001 (CoRR, 2025)

TreeRPO: Tree Relative Policy Optimization. - Zhicheng Yang; Zhijiang Guo; Yinya Huang; Xiaodan Liang; Yiwei Wang 001; Jing Tang 004 (CoRR, 2025)

BRIGHT+: Upgrading the BRIGHT Benchmark with MARCUS, a Multi-Agent RAG Clean-Up Suite. - Liyang Chen; Yujun Cai; Jieqiong Dong; Yiwei Wang 001 (CoRR, 2025)

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. - Jiayu Yao; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Baolong Bi; Yuyao Ge; Zhecheng Li; Xueqi Cheng (CoRR, 2025)

Understanding GUI Agent Localization Biases through Logit Sharpness. - Xingjian Tao; Yiwei Wang 001; Yujun Cai; Zhicheng Yang; Jing Tang 004 (CoRR, 2025)

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs. - Yang Wu; Yifan Zhang; Yiwei Wang 001; Yujun Cai; Yurong Wu; Yuran Wang; Ning Xu; Jian Cheng (CoRR, 2025)

Structured Attention Matters to Multimodal LLMs in Document Understanding. - Chang Liu 072; Hongkai Chen; Yujun Cai; Hang Wu; Qingwen Ye; Ming-Hsuan Yang 001; Yiwei Wang 001 (CoRR, 2025)

DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning. - Hang Wu; Hongkai Chen; Yujun Cai; Chang Liu 072; Qingwen Ye; Ming-Hsuan Yang 001; Yiwei Wang 001 (CoRR, 2025)

Symbolic or Numerical? Understanding Physics Problem Solving in Reasoning LLMs. - Nifu Dan; Yujun Cai; Yiwei Wang 001 (CoRR, 2025)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. - Baolong Bi; Shenghua Liu; Xingzhang Ren; Dayiheng Liu; Junyang Lin; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Unveiling the Potential of Diffusion Large Language Model in Controllable Generation. - Zhen Xiong; Yujun Cai; Zhecheng Li; Yiwei Wang 001 (CoRR, 2025)

A Survey of Context Engineering for Large Language Models. - Lingrui Mei; Jiayu Yao; Yuyao Ge; Yiwei Wang 001; Baolong Bi; Yujun Cai; Jiazhi Liu; Mingyu Li; Zhong-Zhi Li; Duzhen Zhang; Chenlin Zhou; Jiayi Mao; et al. (CoRR, 2025)

A2R2: Advancing Img2LaTeX Conversion via Visual Reasoning with Attention-Guided Refinement. - Zhecheng Li; Guoxian Song; Yiwei Wang 001; Zhen Xiong; Junsong Yuan 001; Yujun Cai (CoRR, 2025)

Cure or Poison? Embedding Instructions Visually Alters Hallucination in Vision-Language Models. - Zhaochen Wang; Yiwei Wang 001; Yujun Cai (CoRR, 2025)

MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs. - Haonan Ge; Yiwei Wang 001; Ming-Hsuan Yang 001; Yujun Cai (CoRR, 2025)

Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration. - Zhicheng Yang; Zhijiang Guo; Yinya Huang; Yongxin Wang; Dongchun Xie; Yiwei Wang 001; Xiaodan Liang; Jing Tang 004 (CoRR, 2025)