James Caverlee

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 136

Top Venues

Publications

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
How to Train Data-Efficient LLMs. CoRR (2024)
Maria Teleki, Xiangjue Dong, James Caverlee
Quantifying the Impact of Disfluency on Spoken Content Summarization. LREC/COLING (2024)
Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
Disclosure and Mitigation of Gender Bias in LLMs. CoRR (2024)
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) (2024)
Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. CoRR (2024)
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
Countering Mainstream Bias via End-to-End Adaptive Local Learning. ECIR (5) (2024)
Rohan Chaudhury, Maria Teleki, Xiangjue Dong, James Caverlee
DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation. LREC/COLING (2024)
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
Robust Graph Meta-Learning for Weakly Supervised Few-Shot Node Classification. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
The Neglected Tails of Vision-Language Models. CoRR (2024)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Federated Conversational Recommender Systems. ECIR (5) (2024)
Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. WWW (Companion Volume) (2024)
Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. CoRR (2024)
Rui Yang, Haoran Liu, Edison Marrese-Taylor, Qingcheng Zeng, Yuhe Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo, Irene Li
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. CoRR (2024)
Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models. CoRR (2024)
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR (2024)
Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee
Countering Mainstream Bias via End-to-End Adaptive Local Learning. CoRR (2024)
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD (2023)
Mostafa Rahmani, James Caverlee, Fei Wang
Incorporating Time in Sequential Recommendation Models. RecSys (2023)
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. ACL (Findings) (2023)
Karthic Madanagopal, James Caverlee
Bias Neutralization in Non-Parallel Texts: A Cyclic Approach with Auxiliary Guidance. EMNLP (2023)
Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. CoRR (2023)
Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR (2023)
Karthic Madanagopal, James Caverlee
Reinforced Sequence Training based Subjective Bias Correction. EACL (2023)
Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. CoRR (2023)
Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
Closed-book Question Generation via Contrastive Learning. EACL (2023)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Enhancing User Personalization in Conversational Recommenders. CoRR (2023)
Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. CoRR (2023)
Zhuoer Wang, Yicheng Wang, Ziwei Zhu, James Caverlee
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. EMNLP (Findings) (2023)
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. EMNLP (Findings) (2023)
Han Zhang, Ziwei Zhu, James Caverlee
Evolution of Filter Bubbles and Polarization in News Recommendation. ECIR (2) (2023)
Han Zhang, Ziwei Zhu, James Caverlee
Evolution of Filter Bubbles and Polarization in News Recommendation. CoRR (2023)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Enhancing User Personalization in Conversational Recommenders. WWW (2023)
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee
Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. CoRR (2023)
Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, Fei Wang, James Caverlee, Yongfeng Zhang
Automated Data Denoising for Recommendation. CoRR (2023)
Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. CoRR (2023)
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee
RES: An Interpretable Replicability Estimation System for Research Publications. AAAI (2022)
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR (2022)
Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng
Item Relationship Graph Neural Networks for E-Commerce. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CIKM (2022)
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. WWW (2022)
Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. CoRR (2022)
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. CoRR (2022)
Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
Closed-book Question Generation via Contrastive Learning. CoRR (2022)
Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI (2022)
Karthic Madanagopal, James Caverlee
Improving Linguistic Bias Detection in Wikipedia using Cross-Domain Adaptive Pre-Training. WWW (Companion Volume) (2022)
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
Evolution of Popularity Bias: Empirical Study and Debiasing. CoRR (2022)
Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee
Towards Fair Conversational Recommender Systems. CoRR (2022)
Ziwei Zhu, James Caverlee
Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning. WSDM (2022)
Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
Popularity-Opportunity Bias in Collaborative Filtering. WSDM (2021)
Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
Popularity Bias in Dynamic Recommendation. KDD (2021)
Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka, Arjun Manoj Menon, Sai Ajay Modukuri, Nishanth Nakshatri, Xin Wei, Zhuoer Wang, James Caverlee, Sarah Michele Rajtmajer, C. Lee Giles
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models. CoRR (2021)
Kaize Ding, Jianling Wang, Jundong Li, James Caverlee, Huan Liu
Weakly-supervised Graph Meta-learning for Few-shot Node Classification. CoRR (2021)
Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee
Fairness among New Items in Cold Start Recommender Systems. SIGIR (2021)
Karthic Madanagopal, James Caverlee
Towards Ongoing Detection of Linguistic Bias on Wikipedia. WWW (Companion Volume) (2021)
Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. CoRR (2021)
Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
Session-based Recommendation with Hypergraph Attention Networks. CoRR (2021)
Ziwei Zhu, Jianling Wang, James Caverlee
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning. CoRR (2021)
Yin Zhang, Yun He, James Caverlee
Vibe check: social resonance learning for enhanced recommendation. ASONAM (2021)
Xing Zhao, Ziwei Zhu, James Caverlee
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. WWW (2021)
Jianling Wang, Kaize Ding, James Caverlee
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. SIGIR (2021)
Jianling Wang, Kaize Ding, James Caverlee
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. CoRR (2021)
Monika Daryani, James Caverlee
Identifying Hijacked Reviews. CoRR (2021)
Jianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee
Session-based Recommendation with Hypergraph Attention Networks. SDM (2021)
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Consistency-Aware Recommendation for User-Generated Item List Continuation. WSDM (2020)
Parisa Kaghazgaran, James Caverlee
Towards an Automated Writing Assistant for Online Reviews. AutomationXP@CHI (2020)
Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
Next-item Recommendation with Sequential Hypergraphs. SIGIR (2020)
Habeeb Hooshmand, James Caverlee
Understanding Car-Speak: Replacing Humans in Dealerships. CoRR (2020)
Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee
Addressing the Target Customer Distortion Problem in Recommender Systems. WWW (2020)
Yin Zhang, Yun He, Jianling Wang, James Caverlee
Adaptive Hierarchical Translation-based Sequential Recommendation. WWW (2020)
Ziwei Zhu, Jianling Wang, James Caverlee
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR (2020)
Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. RecSys (2020)
Jianling Wang, James Caverlee
Recommending Music Curators: A Neural Style-Aware Approach. ECIR (1) (2020)
Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. WSDM (2020)
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) (2020)
Jianling Wang, Ziwei Zhu, James Caverlee
User Recommendation in Content Curation Platforms. WSDM (2020)
Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys (2020)
Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR (2020)
Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee
ADORE: Aspect Dependent Online REview Labeling for Review Generation. SIGIR (2020)
Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. WSDM (2020)
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. EMNLP (1) (2020)
Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. CoRR (2020)
Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. WSDM (2020)
Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR (2020)
Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
An Interpretable Neural Model with Interactive Stepwise Influence. PAKDD (3) (2019)
Yin Zhang, James Caverlee
Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence. CIKM (2019)
Jianling Wang, James Caverlee
Recurrent Recommendation with Local Coherence. WSDM (2019)
Yun He, Jianling Wang, Wei Niu, James Caverlee
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CIKM (2019)
Yun He, Haochen Chen, Ziwei Zhu, James Caverlee
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. CoRR (2019)
Parisa Kaghazgaran, Majid Alfifi, James Caverlee
Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures. CIKM (2019)
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
Tensor Completion Algorithms in Big Data Analytics. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Consistency-Aware Recommendation for User-Generated ItemList Continuation. CoRR (2019)
Parisa Kaghazgaran, Majid Alfifi, James Caverlee
TOmCAT: Target-Oriented Crowd Review Attacks and Countermeasures. ICWSM (2019)
Majid Alfifi, Parisa Kaghazgaran, James Caverlee, Fred Morstatter
A Large-Scale Study of ISIS Social Media Strategy: Community Size, Collective Influence, and Behavioral Impact. ICWSM (2019)
Yun He, Jianling Wang, Wei Niu, James Caverlee
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. CoRR (2019)
Ziwei Zhu, Jianling Wang, James Caverlee
Improving Top-K Recommendation via JointCollaborative Autoencoders. WWW (2019)
Benjamin A. Knott, Jonathan Gratch, Angelo Cangelosi, James Caverlee
ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Trust and Influence in Intelligent Human-Machine Interaction. ACM Trans. Interact. Intell. Syst. 8 (4) (2018)
Parisa Kaghazgaran, James Caverlee, Anna Cinzia Squicciarini
Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach. WSDM (2018)
Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee
DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark. ICDE (2018)
Wei Niu, James Caverlee, Haokai Lu
Location-Sensitive User Profiling Using Crowdsourced Labels. AAAI (2018)
Xing Zhao, Qingquan Song, James Caverlee, Xia Hu
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. RecSys Challenge (2018)

James Caverlee.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

James Caverlee