Peng Lu
23 papers · 2019–2026 · 10 venues · across top CS/AI venues
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label smoothing
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novel view synthesis
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large language model
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knowledge distillation
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multimodal learning
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model efficiency
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instruction tuning
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efficient computing
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label regularization
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named entity recognition
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Papers
CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness
CVPR 2026
CoRoGS: Contextual Gaussian Splatting for Robust Large-Deviation View Synthesis
CVPR 2026
Investigating the Multilingual Calibration Effects of Language Model Instruction Tuning
EACL 2026
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
ACL 2026
MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application
ACL 2026
PolarGuide-GSDR: 3D Gaussian Splatting Driven by Polarization Priors and Deferred Reflection for Real-World Reflective Scenes
CVPR 2026
Calibrated Language Models and How to Find Them with Label Smoothing
ICML 2025
Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding
CVPR 2025
Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving
AAAI 2025
ReGLA: Refining Gated Linear Attention
NAACL 2025
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention
ICLR 2025
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity
EMNLP 2024
Empower Programmable Pipeline for Advanced Stateful Packet Processing
NSDI 2024
Resonance RoPE: Improving Context Length Generalization of Large Language Models
ACL 2024
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
CVPR 2024
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
ICML 2024
Do we need Label Regularization to Fine-tune Pre-trained Language Models?
EACL 2023
Efficient Classification of Long Documents via State-Space Models
EMNLP 2023
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
ACL 2023
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging
EMNLP 2022
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation
EMNLP 2021
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
ICCV 2019
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
NAACL 2019