Reverse Supervision at Scale: Exponential Search Meets the Economics of Annotation
Fuente:
arXiv
Saved in:
| Main Author: | Makrehchi, Masoud |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
by: Rouzegar, Hamidreza, et al.
Published: (2024)
by: Rouzegar, Hamidreza, et al.
Published: (2024)
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
by: Rouzegar, Hamdireza, et al.
Published: (2024)
by: Rouzegar, Hamdireza, et al.
Published: (2024)
Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification
by: Kheiri, Farnaz, et al.
Published: (2026)
by: Kheiri, Farnaz, et al.
Published: (2026)
Three Lenses on the AI Revolution: Risk, Transformation, Continuity
by: Makrehchi, Masoud
Published: (2025)
by: Makrehchi, Masoud
Published: (2025)
Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
by: Blasingame, Zander W., et al.
Published: (2025)
by: Blasingame, Zander W., et al.
Published: (2025)
Rethinking the Unsolvable: When In-Context Search Meets Test-Time Scaling
by: Xia, Fanzeng, et al.
Published: (2025)
by: Xia, Fanzeng, et al.
Published: (2025)
The Impact of Role Design in In-Context Learning for Large Language Models
by: Rouzegar, Hamidreza, et al.
Published: (2025)
by: Rouzegar, Hamidreza, et al.
Published: (2025)
Weight-Entanglement Meets Gradient-Based Neural Architecture Search
by: Sukthanker, Rhea Sanjay, et al.
Published: (2023)
by: Sukthanker, Rhea Sanjay, et al.
Published: (2023)
Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program
by: Peters, Heinrich, et al.
Published: (2023)
by: Peters, Heinrich, et al.
Published: (2023)
Jailbreak Scaling Laws for Large Language Models: Polynomial-Exponential Crossover
by: Halder, Indranil, et al.
Published: (2026)
by: Halder, Indranil, et al.
Published: (2026)
Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
by: Ng, Lynnette Hui Xian, et al.
Published: (2025)
by: Ng, Lynnette Hui Xian, et al.
Published: (2025)
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
by: Bian, Song, et al.
Published: (2025)
by: Bian, Song, et al.
Published: (2025)
DTization: A New Method for Supervised Feature Scaling
by: Islam, Niful
Published: (2024)
by: Islam, Niful
Published: (2024)
Object-Centric World Models Meet Monte Carlo Tree Search
by: Vakhitov, Rodion, et al.
Published: (2026)
by: Vakhitov, Rodion, et al.
Published: (2026)
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
by: Zhao, Eric, et al.
Published: (2025)
by: Zhao, Eric, et al.
Published: (2025)
Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability
by: Hassan, Masoud Muhammed
Published: (2024)
by: Hassan, Masoud Muhammed
Published: (2024)
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
by: Zhang, Wenhao, et al.
Published: (2025)
by: Zhang, Wenhao, et al.
Published: (2025)
Scaling DPPs for RAG: Density Meets Diversity
by: Sun, Xun, et al.
Published: (2026)
by: Sun, Xun, et al.
Published: (2026)
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform
by: Ataei, Masoud, et al.
Published: (2025)
by: Ataei, Masoud, et al.
Published: (2025)
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
by: Akhlaghi, Vahid Eghbal, et al.
Published: (2025)
by: Akhlaghi, Vahid Eghbal, et al.
Published: (2025)
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
by: Ma, Qian, et al.
Published: (2024)
by: Ma, Qian, et al.
Published: (2024)
Weak Supervision for Improved Precision in Search Systems
by: Vasudevan, Sriram
Published: (2025)
by: Vasudevan, Sriram
Published: (2025)
Adaptive Inference-Time Scaling via Cyclic Diffusion Search
by: Lee, Gyubin, et al.
Published: (2025)
by: Lee, Gyubin, et al.
Published: (2025)
Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search
by: Zhang, Yifei, et al.
Published: (2026)
by: Zhang, Yifei, et al.
Published: (2026)
Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detection
by: Moon, Ik Jun, et al.
Published: (2024)
by: Moon, Ik Jun, et al.
Published: (2024)
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
by: Muñoz, J. Pablo, et al.
Published: (2025)
by: Muñoz, J. Pablo, et al.
Published: (2025)
Structured vs. Unstructured Pruning: An Exponential Gap
by: Ferre', Davide, et al.
Published: (2026)
by: Ferre', Davide, et al.
Published: (2026)
$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models
by: Bilal, Ahsan, et al.
Published: (2026)
by: Bilal, Ahsan, et al.
Published: (2026)
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)
Improving Line Search Methods for Large Scale Neural Network Training
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
Super-Exponential Regret for UCT, AlphaGo and Variants
by: Orseau, Laurent, et al.
Published: (2024)
by: Orseau, Laurent, et al.
Published: (2024)
ScaleBITS: Scalable Bitwidth Search for Hardware-Aligned Mixed-Precision LLMs
by: Li, Xinlin, et al.
Published: (2026)
by: Li, Xinlin, et al.
Published: (2026)
SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2025)
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2025)
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction
by: Kargar, Masoud, et al.
Published: (2024)
by: Kargar, Masoud, et al.
Published: (2024)
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
by: Mahapatra, Joy, et al.
Published: (2025)
by: Mahapatra, Joy, et al.
Published: (2025)
OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems
by: Li, Xiaozhe, et al.
Published: (2025)
by: Li, Xiaozhe, et al.
Published: (2025)
Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry
by: Tahmasebi, Behrooz, et al.
Published: (2025)
by: Tahmasebi, Behrooz, et al.
Published: (2025)
REAct: Rational Exponential Activation for Better Learning and Generalization in PINNs
by: Mishra, Sourav, et al.
Published: (2025)
by: Mishra, Sourav, et al.
Published: (2025)
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
by: Liang, Daojun, et al.
Published: (2025)
by: Liang, Daojun, et al.
Published: (2025)
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search
by: Li, Shuangtao, et al.
Published: (2025)
by: Li, Shuangtao, et al.
Published: (2025)
Similar Items
-
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation
by: Rouzegar, Hamidreza, et al.
Published: (2024) -
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
by: Rouzegar, Hamdireza, et al.
Published: (2024) -
Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification
by: Kheiri, Farnaz, et al.
Published: (2026) -
Three Lenses on the AI Revolution: Risk, Transformation, Continuity
by: Makrehchi, Masoud
Published: (2025) -
Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
by: Blasingame, Zander W., et al.
Published: (2025)