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James Caverlee — most-cited papers & profile · Computer Vision
← authors
·
overview
James Caverlee
15
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
Towards An Efficient LLM Training Paradigm for CTR Prediction
2025
Automated Data Denoising for Recommendation
2023
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
2024
Topics
cs.IR
Model Architecture
Efficiency
cs.LG
Vision-Language
Training Techniques
Fine-Tuning
Sequential & Session
LLM-based
cs.CL