Tianlong Chen
- Papers
- 40
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Authored papers
40PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency
arXiv 2026
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
arXiv 2025
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
arXiv 2025
Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills
arXiv 2025
Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks
arXiv 2025
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
arXiv 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
arXiv 2025
GradientStabilizer:Fix the Norm, Not the Gradient
arXiv 2025
Window Token Concatenation for Efficient Visual Large Language Models
arXiv 2025
A Space-Time Transformer for Precipitation Forecasting
arXiv 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv 2025
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
arXiv 2024
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
arXiv 2024
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints
ICCV 2025
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
arXiv 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
arXiv 2024
Adapt-$\infty$: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection
arXiv 2024
Composable Interventions for Language Models
arXiv 2024
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
arXiv 2024
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
arXiv 2024
Glider: Global and Local Instruction-Driven Expert Router
arXiv 2024
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
arXiv 2023
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
arXiv 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
ICCV 2023 1
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
arXiv 2023
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
ICCV 2023 1
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
the-emergence-of-essential-sparsity-in-large
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
CVPR 2024 1
M$^3$ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
arXiv 2022
Advancing Model Pruning via Bi-level Optimization
arXiv 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
the-unreasonable-effectiveness-of-random
Unified Visual Transformer Compression
unified-visual-transformer-compression
Neural Implicit Dictionary via Mixture-of-Expert Training
arXiv 2022
APP: Anytime Progressive Pruning
arXiv 2022
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
sparse-training-via-boosting-pruning-1
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
NeurIPS 2021 12
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
dsee-dually-sparsity-embedded-efficient
Graph Contrastive Learning with Augmentations
NeurIPS 2020 12
When Does Self-Supervision Help Graph Convolutional Networks?
ICML 2020 1
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