Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks. - Fabian Christoffel; Bibek Paudel; Chris Newell; Abraham Bernstein (RecSys, 2015)

Random Walk TripleRush: Asynchronous Graph Querying and Sampling. - Philip Stutz; Bibek Paudel; Mihaela Verman; Abraham Bernstein (WWW, 2015)

Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering. - Bibek Paudel; Thilo Haas; Abraham Bernstein (RecSys, 2017)

Updatable, Accurate, Diverse, and Scalable Recommendations for Interactive Applications. - Bibek Paudel; Fabian Christoffel; Chris Newell; Abraham Bernstein (ACM Trans. Interact. Intell. Syst., 2017)

Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning. - Matthias Baumgartner; Wen Zhang 015; Bibek Paudel; Daniele Dell'Aglio; Huajun Chen; Abraham Bernstein (ISWC (1), 2018)

Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. - Bibek Paudel; Sandro Luck; Abraham Bernstein (CoRR, 2018)

Mix and Rank: A Framework for Benchmarking Recommender Systems. - Bibek Paudel; Dragi Kocev; Tome Eftimov (IEEE BigData, 2019)

Exploring a standardized language for describing foods using embedding techniques. - Gorjan Popovski; Bibek Paudel; Tome Eftimov; Barbara Korousic-Seljak (IEEE BigData, 2019)

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. - Wen Zhang 015; Bibek Paudel; Wei Zhang 127; Abraham Bernstein; Huajun Chen (WSDM, 2019)

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. - Wen Zhang 015; Bibek Paudel; Liang Wang; Jiaoyan Chen 001; Hai Zhu; Wei Zhang 127; Abraham Bernstein; Huajun Chen (WWW, 2019)

Cross-Cutting Political Awareness through Diverse News Recommendations. - Bibek Paudel; Abraham Bernstein (CoRR, 2019)

Adversarial Learning for Debiasing Knowledge Graph Embeddings. - Mario Arduini; Lorenzo Noci; Federico Pirovano; Ce Zhang; Yash Raj Shrestha; Bibek Paudel (CoRR, 2020)

A Deep Learning Pipeline for Patient Diagnosis Prediction Using Electronic Health Records. - Leopold Franz; Yash Raj Shrestha; Bibek Paudel (CoRR, 2020)

Towards Automatic Bias Detection in Knowledge Graphs. - Daphna Keidar; Mian Zhong; Ce Zhang; Yash Raj Shrestha; Bibek Paudel (EMNLP (Findings), 2021)

Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. - Bibek Paudel; Abraham Bernstein (WWW, 2021)

A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. - Tome Eftimov; Bibek Paudel; Gorjan Popovski; Dragi Kocev (Big Data Res., 2021)

HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification. - Bibek Paudel; Alexander Lyzhov; Preetam Joshi; Puneet Anand (CoRR, 2025)