Key papers

• Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes (2026)
  Chenye Meng et al.
  1.94
• An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift (2026)
  Constantinos Karouzos et al.
  1.94
• WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents (2026)
  Yao Zhang et al.
  1.94
• Unified Personalized Reward Model for Vision Generation (2026)
  Yibin Wang et al.
  1.94
• AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization (2026)
  Ashutosh Chaubey et al.
  1.94
• CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction (2026)
  Yinghao Ma et al.
  1.94
• Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models (2026)
  Qiyuan Zhang et al.
  1.94
• Alignment Makes Language Models Normative, Not Descriptive (2026)
  Eilam Shapira et al.
  1.94
• Latent Preference Modeling for Cross-Session Personalized Tool Calling (2026)
  Yejin Yoon et al.
  1.94
• AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment (2026)
  Kuei-Chun Kao et al.
  1.94
• Advancing Creative Physical Intelligence in Large Multimodal Models (2026)
  Cheng Qian et al.
  1.94
• RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains (2026)
  Haoxiang Jiang et al.
  1.94
• Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale (2026)
  Ang Li et al.
  1.94
• Signals: Trajectory Sampling and Triage for Agentic Interactions (2026)
  Shuguang Chen et al.
  1.83
• KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation (2026)
  Tongbo Chen et al.
  1.83
• ViPO: Visual Preference Optimization at Scale (2026)
  Ming Li et al.
  1.83
• RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation (2025)
  Kaiqu Liang et al.
  1.28
• ACECODER: Acing Coder RL via Automated Test-Case Synthesis (2025)
  Huaye Zeng et al.
  1.28
• PILAF: Optimal Human Preference Sampling for Reward Modeling (2025)
  Yunzhen Feng et al.
  1.28
• Rethinking Diverse Human Preference Learning through Principal Component Analysis (2025)
  Feng Luo et al.
  1.28
• Thinking Preference Optimization (2025)
  Wang Yang et al.
  1.28
• OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference (2025)
  Xiangyu Zhao et al.
  1.28
• IterPref: Focal Preference Learning for Code Generation via Iterative Debugging (2025)
  Jie Wu et al.
  1.28
• Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning (2025)
  Qinghao Ye et al.
  1.28
• CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era (2025)
  Kanzhi Cheng et al.
  1.28
• Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning (2025)
  Yufei Zhan et al.
  1.28
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025)
  Yatong Bai et al.
  1.28
• Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning (2025)
  Yibin Wang et al.
  1.28
• WavReward: Spoken Dialogue Models With Generalist Reward Evaluators (2025)
  Shengpeng Ji et al.
  1.28
• MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models (2025)
  Hang Hua et al.
  1.28
• Sherlock: Self-Correcting Reasoning in Vision-Language Models (2025)
  Yi Ding et al.
  1.28
• CAMS: A CityGPT-Powered Agentic Framework for Urban Human Mobility Simulation (2025)
  Yuwei Du et al.
  1.28
• PrefPalette: Personalized Preference Modeling with Latent Attributes (2025)
  Shuyue Stella Li et al.
  1.28
• Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning (2025)
  Yibin Wang et al.
  1.28
• The Era of Real-World Human Interaction: RL from User Conversations (2025)
  Chuanyang Jin et al.
  1.28
• DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning (2025)
  Yifan Wang et al.
  1.28
• Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences (2025)
  Zhuoran Jin et al.
  1.28
• Self-Improving VLM Judges Without Human Annotations (2025)
  Inna Wanyin Lin et al.
  1.28
• From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting (2023)
  Griffin Adams et al.
  —
• ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations (2023)
  Maitreya Patel et al.
  —
• Silkie: Preference Distillation for Large Visual Language Models (2023)
  Lei Li et al.
  —
• VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM (2024)
  Fuchen Long et al.
  —
• Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (2024)
  Zixiang Chen et al.
  —
• Aligning Diffusion Models with Noise-Conditioned Perception (2024)
  Alexander Gambashidze et al.
  —
• ViPer: Visual Personalization of Generative Models via Individual Preference Learning (2024)
  Sogand Salehi et al.
  —
• Building Math Agents with Multi-Turn Iterative Preference Learning (2024)
  Wei Xiong et al.
  —
• SePPO: Semi-Policy Preference Optimization for Diffusion Alignment (2024)
  Daoan Zhang et al.
  —
• Improving Long-Text Alignment for Text-to-Image Diffusion Models (2024)
  Luping Liu et al.
  —
• MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models (2024)
  Ziyu Liu et al.
  —
• VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models (2024)
  Lei Li et al.
  —
• LSceneLLM: Enhancing Large 3D Scene Understanding Using Adaptive Visual Preferences (2024)
  Hongyan Zhi et al.
  —
• TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization (2024)
  Chia-Yu Hung et al.
  —