3 papers
cs.IR2026
Distribution-Level Contrastive Supervision for Generative Recommendation
Ziqi Xue, Dingxian Wang, Yimeng Bai +7
Recent generative recommenders improve scalability by retrieving items through token generation instead of traditional ranking over large candidate sets. Yet their training signals…
cs.AI2025
UpBench: A Dynamically Evolving Real-World Labor-Market Agentic Benchmark Framework Built for Human-Centric AI
Darvin Yi, Teng Liu, Mattie Terzolo +4
As large language model (LLM) agents increasingly undertake digital work, reliable frameworks are needed to evaluate their real-world competence, adaptability, and capacity for hum…
cs.LG2024
Evaluating Cost-Accuracy Trade-offs in Multimodal Search Relevance Judgements
Silvia Terragni, Hoang Cuong, Joachim Daiber +2
Large Language Models (LLMs) have demonstrated potential as effective search relevance evaluators. However, there is a lack of comprehensive guidance on which models consistently p…