RLHF & Alignment

Papers

• Spectral Souping: A Unified Framework for Online Preference Alignment (2026)
  Yinlam Chow et al.
  4.54
• PREFINE: Preference-Based Implicit Reward and Cost Fine-Tuning for Safety Alignment (2026)
  Richa Verma et al.
  4.54
• Emergent Cooperation Under Uncertain Incentive Alignment (2024)
  Nicole Orzan, Erman Acar, Davide Grossi, et al.
  2.26
• Explaining And Preventing Alignment Collapse In Iterative RLHF (2026)
  Etienne Gauthier, Francis Bach, Michael I. Jordan
  0.00
• Policy-value Alignment And Robustness In Search-based Multi-agent Learning (2023)
  Niko A. Grupen, Michael Hanlon, Alexis Hao, et al.
  0.00
• The Alignment Ceiling: Objective Mismatch In Reinforcement Learning From Human Feedback (2023)
  Nathan Lambert, Roberto Calandra
  0.00
• Scalable Agent Alignment Via Reward Modeling: A Research Direction (2018)
  Jan Leike, David Krueger, Tom Everitt, et al.
  0.00
• Learnalign: Data Selection For LLM Reinforcement Learning With Improved Gradient Alignment (2026)
  Shipeng Li, Zhiqin Yang, Shikun Li, et al.
  0.00
• Vision-based Generic Potential Function For Policy Alignment In Multi-agent Reinforcement Learning (2025)
  Hao Ma, Shijie Wang, Zhiqiang Pu, et al.
  0.00
• SAFE: Stable Alignment Finetuning With Entropy-aware Predictive Control For Reinforcement Learning From Human Feedback (RLHF) (2026)
  Dipan Maity
  0.00
• Dynamic Policy Fusion For User Alignment Without Re-interaction (2024)
  Ajsal Shereef Palattuparambil, Thommen George Karimpanal, Santu Rana
  0.00
• Double Check My Desired Return: Transformer With Target Alignment For Offline Reinforcement Learning (2025)
  Yue Pei, Hongming Zhang, Chao Gao, et al.
  0.00
• Meta-aligner: Bidirectional Preference-policy Optimization For Multi-objective Llms Alignment (2026)
  Wenzhe Xu, Biao Liu, Yiyang Sun, et al.
  0.00
• PAGAR: Taming Reward Misalignment In Inverse Reinforcement Learning-based Imitation Learning With Protagonist Antagonist Guided Adversarial Reward (2023)
  Weichao Zhou, Wenchao Li
  0.00
• Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli (2026)
  Subba Reddy Oota et al.
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• Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations (2026)
  Haozheng Luo et al.
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• Interoceptive Divergence in Aesthetic Evaluation and Implications for Human-AI Alignment (2026)
  Yoshia Abe et al.
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• Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay (2026)
  Subba Reddy Oota et al.
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• Measuring Safety Alignment Effects in Autonomous Security Agents (2026)
  Isaac David et al.
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• Stitched Value Model for Diffusion Alignment (2026)
  Hyojun Go et al.
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• Beyond Prediction Accuracy: Target-Space Recovery Profiles for Evaluating Model-Brain Alignment (2026)
  Ken Nakamura et al.
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• Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment (2026)
  Zhiqin Yang et al.
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• Federated LoRA Fine-Tuning for LLMs via Collaborative Alignment (2026)
  Shuaida He et al.
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• Convex Optimization for Alignment and Preference Learning on a Single GPU (2026)
  Miria Feng et al.
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