What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models Paper • 2503.24235 • Published 8 days ago • 49
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models Paper • 2503.24235 • Published 8 days ago • 49
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge Paper • 2502.12501 • Published Feb 18 • 6
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction Paper • 2108.01265 • Published Aug 3, 2021
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction Paper • 2208.04482 • Published Aug 9, 2022
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives Paper • 2302.02241 • Published Feb 4, 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network Paper • 2310.15342 • Published Oct 23, 2023
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References Paper • 2410.05193 • Published Oct 7, 2024 • 13
Collaborative Performance Prediction for Large Language Models Paper • 2407.01300 • Published Jul 1, 2024 • 2
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective Paper • 2404.07200 • Published Apr 10, 2024 • 1