Ruqi Zhang

Venues

Frequent coauthors

Papers

1. Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange
   AAAI 2026 ·

   Haoyang Zheng

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2. Adaptive Draft-Verification for Efficient Large Language Model Decoding
   AAAI 2025 ·

   Xukun Liu

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3. CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
   ACL 2025 ·

   Boxuan Zhang

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4. Controlled LLM Decoding via Discrete Auto-regressive Biasing
   ICLR 2025 ·

   Patrick Pynadath

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5. Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
   IROS 2025 ·

   Vineet Punyamoorty

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6. ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
   ICLR 2025 ·

   Yi Ding

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7. On Learning Closed-Loop Probabilistic Multi-Agent Simulator
   IROS 2025 ·

   Juanwu Lu

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8. Optimal Stochastic Trace Estimation in Generative Modeling
   AISTATS 2025 ·

   Xinyang Liu

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9. Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner
   EMNLP 2025 ·

   Bolian Li

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10. Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling
    AAAI 2025 · Ruqi Zhang
11. Sherlock: Self-Correcting Reasoning in Vision-Language Models
    NeurIPS 2025 ·

    Yi Ding

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12. Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓp-Smooth Nonconvex Optimization
    ICML 2025 ·

    Xinyu Luo

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13. VERA: Variational Inference Framework for Jailbreaking Large Language Models
    NeurIPS 2025 ·

    Anamika Lochab

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14. Adaptive Planning with Generative Models under Uncertainty
    IROS 2024 ·

    Pascal Jutras-Dubé

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15. Entropy-MCMC: Sampling from Flat Basins with Ease
    ICLR 2024 ·

    Bolian Li

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16. Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
    NeurIPS 2024 ·

    Patrick Pynadath

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17. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
    ICML 2024 ·

    Theodore Papamarkou

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18. Training Bayesian Neural Networks with Sparse Subspace Variational Inference
    ICLR 2024 ·

    Junbo Li

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