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James Caverlee — most-cited papers & profile · Multimodal
← authors
·
overview
James Caverlee
14
papers ·
119
citations ·
44
h-index
Texas A&M University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
2022 · 69 citations
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
2022 · 48 citations
Countering Mainstream Bias via End-to-End Adaptive Local Learning
2024 · 2 citations
Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation
2026
Language Models as Semantic Augmenters for Sequential Recommenders
2025
CHOIR: Collaborative Harmonization fOr Inference Robustness
2025
BI-DCGAN: A Theoretically Grounded Bayesian Framework for Efficient and Diverse GANs
2025
Towards An Efficient LLM Training Paradigm for CTR Prediction
2025
Automated Data Denoising for Recommendation
2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
2023
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
2024
Top co-authors
Alexander Waibel
· 1
Fabian Retkowski
· 1
Jan Niehues
· 1
Maike Z\"ufle
· 1
Maria Teleki
· 1
Oliver Grabner
· 1
Vil\'em Zouhar
· 1
Topics
cs.IR
cs.LG
Model Architecture
Efficiency
cs.SI
Safety & Alignment
Vision-Language
Training Techniques
Fine-Tuning
Sequential & Session