Paper Trail

Tag: reward-model

109 items with this tag.

Mar 19, 2026
Unified Personalized Reward Model for Vision Generation
Mar 18, 2026
T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation
Mar 18, 2026
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Mar 18, 2026
GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment
Mar 18, 2026
VBench: Comprehensive Benchmark Suite for Video Generative Models
Mar 18, 2026
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Mar 18, 2026
VideoPhy: Evaluating Physical Commonsense for Video Generation
Mar 18, 2026
Deep reinforcement learning from human preferences
Mar 18, 2026
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Mar 18, 2026
Training language models to follow instructions with human feedback
Mar 18, 2026
Scaling Laws for Reward Model Overoptimization
Mar 18, 2026
Constitutional AI: Harmlessness from AI Feedback
Mar 18, 2026
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference
Mar 18, 2026
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
Mar 18, 2026
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
Mar 18, 2026
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Mar 18, 2026
Let's Verify Step by Step
Mar 18, 2026
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Mar 18, 2026
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Mar 18, 2026
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Mar 18, 2026
Aligning Large Multimodal Models with Factually Augmented RLHF
Mar 18, 2026
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Mar 18, 2026
Generative Judge for Evaluating Alignment
Mar 18, 2026
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Mar 18, 2026
UltraFeedback: Boosting Language Models with Scaled AI Feedback
Mar 18, 2026
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
Mar 18, 2026
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Mar 18, 2026
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
Mar 18, 2026
Rich Human Feedback for Text-to-Image Generation
Mar 18, 2026
Self-Rewarding Language Models
Mar 18, 2026
KTO: Model Alignment as Prospect Theoretic Optimization
Mar 18, 2026
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
Mar 18, 2026
ODIN: Disentangled Reward Mitigates Hacking in RLHF
Mar 18, 2026
ORPO: Monolithic Preference Optimization without Reference Model
Mar 18, 2026
RewardBench: Evaluating Reward Models for Language Modeling
Mar 18, 2026
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Mar 18, 2026
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
Mar 18, 2026
SimPO: Simple Preference Optimization with a Reference-Free Reward
Mar 18, 2026
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
Mar 18, 2026
HelpSteer2: Open-source dataset for training top-performing reward models
Mar 18, 2026
Nemotron-4 340B Technical Report
Mar 18, 2026
Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Mar 18, 2026
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Mar 18, 2026
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
Mar 18, 2026
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
Mar 18, 2026
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Mar 18, 2026
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Mar 18, 2026
Generative Verifiers: Reward Modeling as Next-Token Prediction
Mar 18, 2026
Self-Taught Evaluators
Mar 18, 2026
Quantile Regression for Distributional Reward Models in RLHF
Mar 18, 2026
The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
Mar 18, 2026
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
Mar 18, 2026
JudgeBench: A Benchmark for Evaluating LLM-based Judges
Mar 18, 2026
LLaVA-Critic: Learning to Evaluate Multimodal Models
Mar 18, 2026
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
Mar 18, 2026
RMB: Comprehensively Benchmarking Reward Models in LLM Alignment
Mar 18, 2026
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Mar 18, 2026
A Survey on LLM-as-a-Judge
Mar 18, 2026
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
Mar 18, 2026
LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment
Mar 18, 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
Mar 18, 2026
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Mar 18, 2026
Improving Video Generation with Human Feedback
Mar 18, 2026
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Mar 18, 2026
Process Reinforcement through Implicit Rewards
Mar 18, 2026
Unified Reward Model for Multimodal Understanding and Generation
Mar 18, 2026
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Mar 18, 2026
Inference-Time Scaling for Generalist Reward Modeling
Mar 18, 2026
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
Mar 18, 2026
Process Reward Models That Think
Mar 18, 2026
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Mar 18, 2026
MR. Judge: Multimodal Reasoner as a Judge
Mar 18, 2026
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Mar 18, 2026
R3: Robust Rubric-Agnostic Reward Models
Mar 18, 2026
RM-R1: Reward Modeling as Reasoning
Mar 18, 2026
Reward Reasoning Model
Mar 18, 2026
Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning
Mar 18, 2026
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
Mar 18, 2026
RewardAnything: Generalizable Principle-Following Reward Models
Mar 18, 2026
RewardBench 2: Advancing Reward Model Evaluation
Mar 18, 2026
Checklists Are Better Than Reward Models For Aligning Language Models
Mar 18, 2026
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment
Mar 18, 2026
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
Mar 18, 2026
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Mar 18, 2026
HPSv3: Towards Wide-Spectrum Human Preference Score
Mar 18, 2026
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Mar 18, 2026
VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
Mar 18, 2026
Self-Rewarding Vision-Language Model via Reasoning Decomposition
Mar 18, 2026
EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling
Mar 18, 2026
GRAM-R2: Self-Training Generative Foundation Reward Models for Reward Reasoning
Mar 18, 2026
GRPO is Secretly a Process Reward Model
Mar 18, 2026
RewardDance: Reward Scaling in Visual Generation
Mar 18, 2026
Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
Mar 18, 2026
VideoScore2: Think before You Score in Generative Video Evaluation
Mar 18, 2026
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
Mar 18, 2026
A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models
Mar 18, 2026
VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning
Mar 18, 2026
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
Mar 18, 2026
Video Generation Models Are Good Latent Reward Models
Mar 18, 2026
Personalized Reward Modeling for Text-to-Image Generation
Mar 18, 2026
ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning
Mar 18, 2026
Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
Mar 18, 2026
SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
Mar 18, 2026
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
Mar 18, 2026
Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models
Mar 18, 2026
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
Mar 18, 2026
Scaling Reward Modeling without Human Supervision
Mar 18, 2026
Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation
Mar 18, 2026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

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