Rui Pan
27 papers · 2022–2026 · 10 venues · across top CS/AI venues
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (51) π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (22)
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(5)
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Machine Learning
(19)
Artificial Intelligence
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Core AI
(15)
Optimization & Theory
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(6)
Natural Language Processing
(6)
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Generation
(4)
Learning Types Β· Deep Learning
(4)
Mathematics & Optimization
(3)
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Optimization
(3)
Keywords
large language model
(5)
multimodal learning
(4)
multimodal large language model
(3)
instruction tuning
(3)
transfer learning
(2)
image understanding
(2)
vision-language model
(2)
foundation model
(2)
parameter-efficient fine-tuning
(2)
formal theorem proving
(2)
adversarial robustness
(1)
curriculum learning
(1)
uncertainty quantification
(1)
object detection
(1)
human perception
(1)
benchmark evaluation
(1)
stochastic gradient
(1)
visual perception
(1)
in-context learning
(1)
domain adaptation
(1)
Papers
GUIDE: Towards Scalable Advising for Research Ideas
ACL 2026
AdaGrad under Anisotropic Smoothness
ICLR 2025
AstroMLab 5: Structured Summaries and Concept Extraction for 400,000 Astrophysics Papers
AACL 2025
Bridge-Coder: Transferring Model Capabilities from High-Resource to Low-Resource Programming Language
ACL 2025
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
ICML 2025
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning
EMNLP 2025
Mowgli: Passively Learned Rate Control for Real-Time Video
NSDI 2025
Personalized Visual Instruction Tuning
ICLR 2025
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
ACL 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
NAACL 2025
Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
ICML 2025
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
ICLR 2024
Active Prompting with Chain-of-Thought for Large Language Models
ACL 2024
Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions
NeurIPS 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
NeurIPS 2024
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
NAACL 2024
Mitigating the Alignment Tax of RLHF
EMNLP 2024
MLLM-Protector: Ensuring MLLMβs Safety without Hurting Performance
EMNLP 2024
Plum: Prompt Learning using Metaheuristics
ACL 2024
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization
ECCV 2024
The Instinctive Bias: Spurious Images lead to Illusion in MLLMs
EMNLP 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
EMNLP 2024
DetGPT: Detect What You Need via Reasoning
EMNLP 2023
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control
IJCAI 2023
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?
EMNLP 2023
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning
NSDI 2023
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
ICLR 2022