Min Lin
- Papers
- 48
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Authored papers
48Revisiting Parameter Server in LLM Post-Training
arXiv 2026
Rethinking the Trust Region in LLM Reinforcement Learning
arXiv 2026
Understanding R1-Zero-Like Training: A Critical Perspective
arXiv 2025
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
arXiv 2025
StereoGen: High-quality Stereo Image Generation from a Single Image
ICCV 2025
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
arXiv 2025
FlowReasoner: Reinforcing Query-Level Meta-Agents
arXiv 2025
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
arXiv 2025
Lifelong Safety Alignment for Language Models
arXiv 2025
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
arXiv 2025
Variational Reasoning for Language Models
arXiv 2025
Defeating the Training-Inference Mismatch via FP16
arXiv 2025
Language Models Can Learn from Verbal Feedback Without Scalar Rewards
arXiv 2025
Reinforcing General Reasoning without Verifiers
arXiv 2025
GEM: A Gym for Agentic LLMs
arXiv 2025
When Attention Sink Emerges in Language Models: An Empirical View
arXiv 2024
Sample-Efficient Alignment for LLMs
arXiv 2024
Sailor: Open Language Models for South-East Asia
arXiv 2024
Scaling up Masked Diffusion Models on Text
arXiv 2024
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
arXiv 2024
Pipeline Parallelism with Controllable Memory
arXiv 2024
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
arXiv 2024
SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction
arXiv 2024
Bootstrapping Language Models with DPO Implicit Rewards
arXiv 2024
Balancing Pipeline Parallelism with Vocabulary Parallelism
arXiv 2024
Beyond Memorization: The Challenge of Random Memory Access in Language Models
arXiv 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
arXiv 2024
RegMix: Data Mixture as Regression for Language Model Pre-training
arXiv 2024
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
arXiv 2024
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
arXiv 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
arXiv 2024
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
arXiv 2023
Instant3D: Instant Text-to-3D Generation
arXiv 2023
Automatic Functional Differentiation in JAX
arXiv 2023
From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning
arXiv 2023
Finetuning Text-to-Image Diffusion Models for Fairness
arXiv 2023
Bag of Tricks for Training Data Extraction from Language Models
arXiv 2023
On Calibrating Diffusion Probabilistic Models
on-calibrating-diffusion-probabilistic-models
Intriguing Properties of Data Attribution on Diffusion Models
arXiv 2023
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
arXiv 2023
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
nu-mcc-multiview-compressive-coding-with
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
arXiv 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
NeurIPS 2023 11
A Recipe for Watermarking Diffusion Models
arXiv 2023
Better Diffusion Models Further Improve Adversarial Training
arXiv 2023
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
arXiv 2023
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
arXiv 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
arXiv 2022
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