ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Hao, Yang, Haocheng, Pan, Licheng, Shen, Lei, Li, Xiaoxi, Wang, Yinuo, Chen, Zhichao, Lu, Yuan, Li, Haoxuan, Lin, Zhouchen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
Optimal Transport for LLM Reward Modeling from Noisy Preference
by: Pan, Licheng, et al.
Published: (2026)
by: Pan, Licheng, et al.
Published: (2026)
FreDF: Learning to Forecast in the Frequency Domain
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey
by: Ren, Yinuo, et al.
Published: (2025)
by: Ren, Yinuo, et al.
Published: (2025)
Implicit Generative Prior for Bayesian Neural Networks
by: Liu, Yijia, et al.
Published: (2024)
by: Liu, Yijia, et al.
Published: (2024)
Unbiased Estimation for Total Treatment Effect Under Interference Using Aggregated Dyadic Data
by: Deng, Lu, et al.
Published: (2024)
by: Deng, Lu, et al.
Published: (2024)
Multilevel Additive Schwarz Preconditioners for High‐Order Block Implicit Methods for Parabolic Equations
by: Shishun Li, et al.
Published: (2025)
by: Shishun Li, et al.
Published: (2025)
Trustworthy AI/ML Regression and Unbiased Causal Inference for Real-World Data
by: Xu, Yifei, et al.
Published: (2026)
by: Xu, Yifei, et al.
Published: (2026)
DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
A Novel Class of Unfolding Models for Binary Preference Data
by: Lei, Rayleigh, et al.
Published: (2023)
by: Lei, Rayleigh, et al.
Published: (2023)
The reliability of the gender Implicit Association Test (gIAT) for high-ability careers
by: Young, S. Stanley, et al.
Published: (2024)
by: Young, S. Stanley, et al.
Published: (2024)
Implicit Biases in Refereeing: Lessons from NBA Referees
by: Pelechrinis, Konstantinos
Published: (2022)
by: Pelechrinis, Konstantinos
Published: (2022)
Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective
by: Chen, Zhichao, et al.
Published: (2026)
by: Chen, Zhichao, et al.
Published: (2026)
Age-Specific Logistic Regression with Complex Event Time Data
by: Haoxuan, et al.
Published: (2026)
by: Haoxuan, et al.
Published: (2026)
Deep Time-series Forecasting Needs Kernelized Moment Balancing
by: Pan, Licheng, et al.
Published: (2026)
by: Pan, Licheng, et al.
Published: (2026)
Implicit score-driven filters for time-varying parameter models
by: Lange, Rutger-Jan, et al.
Published: (2025)
by: Lange, Rutger-Jan, et al.
Published: (2025)
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Robust optimal reconciliation for hierarchical time series forecasting with M-estimation
by: Wang, Zhichao, et al.
Published: (2026)
by: Wang, Zhichao, et al.
Published: (2026)
pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)
by: Shi, Skylar, et al.
Published: (2025)
Towards Unbiased Evaluation of Time-series Anomaly Detector
by: Bhattacharya, Debarpan, et al.
Published: (2024)
by: Bhattacharya, Debarpan, et al.
Published: (2024)
An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)
by: Cao, Cheng, et al.
Published: (2024)
Optimal starting point for time series forecasting
by: Zhong, Yiming, et al.
Published: (2024)
by: Zhong, Yiming, et al.
Published: (2024)
A Weight-Dependent 1RM Prediction Equation Optimized on 303,494 Near-Failure Sets Across 388 Exercises
by: Marzagao, Thiago
Published: (2026)
by: Marzagao, Thiago
Published: (2026)
Optimal and Unbiased Fluxes from Up-the-Ramp Detectors under Variable Illumination
by: Li, Bowen, et al.
Published: (2026)
by: Li, Bowen, et al.
Published: (2026)
Beyond Missing Data: Questionnaire Uncertainty Responses as Early Digital Biomarkers of Cognitive Decline and Neurodegenerative Diseases
by: Lu, Yukun, et al.
Published: (2025)
by: Lu, Yukun, et al.
Published: (2025)
A BJT‐Based Temperature Sensor With 58 pJ·K 2 FOM and ± 0.6°C Inaccuracy From −40 to 125°C
by: Xiaojia Wang, et al.
Published: (2025)
by: Xiaojia Wang, et al.
Published: (2025)
Gust Factor of Typhoon in the South China Sea: Based on Data From a Small Island
by: Guo‐Zhang Wang, et al.
Published: (2026)
by: Guo‐Zhang Wang, et al.
Published: (2026)
Rectifier load modeling and zero voltage switching design of inductive power transfer system with S‐type topology on the secondary side
by: Haomin Shen, et al.
Published: (2024)
by: Haomin Shen, et al.
Published: (2024)
Implicit Third‐Order Peer Triplets with Variable Stepsizes for Gradient‐Based Solutions in Large‐Scale ODE‐Constrained Optimal Control
by: Jens Lang, et al.
Published: (2026)
by: Jens Lang, et al.
Published: (2026)
On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials
by: Yang, Peng, et al.
Published: (2026)
by: Yang, Peng, et al.
Published: (2026)
Evaluating the Impact of COVID-19 on Transportation Infrastructure Funding
by: Gao, Lu, et al.
Published: (2026)
by: Gao, Lu, et al.
Published: (2026)
Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation
by: Pan, Hongxing, et al.
Published: (2026)
by: Pan, Hongxing, et al.
Published: (2026)
Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
by: Perusquía, José A., et al.
Published: (2020)
by: Perusquía, José A., et al.
Published: (2020)
Causal inference with dyadic data in randomized experiments
by: Li, Yilin, et al.
Published: (2025)
by: Li, Yilin, et al.
Published: (2025)
State‐of‐the‐Art Fabrication of Microneedle Patches: A Mini‐Review on Emerging Techniques
by: Syed Waqas Ali Shah, et al.
Published: (2025)
by: Syed Waqas Ali Shah, et al.
Published: (2025)
The Mood of the Sunlight: Visualization of the Sunlight Data for Public Art
by: Wang, Yifan, et al.
Published: (2022)
by: Wang, Yifan, et al.
Published: (2022)
Density Prediction of Income Distribution Based on Mixed Frequency Data
by: Wang, Yinzhi, et al.
Published: (2025)
by: Wang, Yinzhi, et al.
Published: (2025)
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Similar Items
-
CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks
by: Wang, Hao, et al.
Published: (2026) -
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026) -
Optimal Transport for LLM Reward Modeling from Noisy Preference
by: Pan, Licheng, et al.
Published: (2026) -
FreDF: Learning to Forecast in the Frequency Domain
by: Wang, Hao, et al.
Published: (2024) -
Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey
by: Ren, Yinuo, et al.
Published: (2025)