Tao Xie
22 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
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EMNLP (4)
ICCV (3)
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NIPS (1)
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Keywords
large language model
(6)
parameter sharing
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multi-task learning
(3)
adversarial robustness
(2)
code generation
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benchmark evaluation
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neural network
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meaning representation
(2)
incremental learning
(2)
semantic parsing
(2)
diffusion model
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point cloud
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neural architecture search
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novel view synthesis
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structure from motion
(1)
depth estimation
(1)
feature extraction
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program synthesis
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named entity recognition
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image reconstruction
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Papers
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
ACL 2026
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning
ACL 2025
Multi-view Reconstruction via SfM-guided Monocular Depth Estimation
CVPR 2025
EnvGS: Modeling View-Dependent Appearance with Environment Gaussian
CVPR 2025
Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
ICCV 2025
Automated Proof Generation for Rust Code via Self-Evolution
ICLR 2025
EPIC: Efficient Position-Independent Caching for Serving Large Language Models
ICML 2025
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness
IJCAI 2025
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm
ACL 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
NIPS 2024
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
ACL 2024
MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer
CVPR 2023
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network
ICCV 2023
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
ICCV 2023
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
CVPR 2023
On the Certified Robustness for Ensemble Models and Beyond
ICLR 2022
Double Sampling Randomized Smoothing
ICML 2022
Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing
EMNLP 2022
Benchmarking Meaning Representations in Neural Semantic Parsing
EMNLP 2020
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space
IJCAI 2019
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
EMNLP 2018