Tao Ge

Artificial Intelligence · 2014–2024

A researcher in the Science corpus: 17 papers; trusts 603 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 329 citations into it; #4,487 of 35,345 by trust here, #5,749 by citations
Natural Language Processing — 262 citations into it; #1,411 of 5,688 by trust here, #2,529 by citations
Computer Vision and Pattern Recognition — 135 citations into it; #21,252 of 21,575 by trust here, #12,689 by citations
Large Language Models — 65 citations into it; #424 of 799 by trust here, #535 by citations
Efficiency & Compression — 61 citations into it; #703 of 1,264 by trust here, #559 by citations
Evaluation & Benchmarks — 59 citations into it
Model Architectures — 55 citations into it
Representation & Self-Supervised Learning — 26 citations into it

Whom Tao Ge trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Tao Ge overall

Papers from Tao Ge's perspective

Ordered by how strongly the researchers Tao Ge trusts endorse each paper. Same corpus, a different order for every researcher.

Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
ImageNet classification with deep convolutional neural networks
Attention is All you Need (Neural Information Processing Systems)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
Gradient-based learning applied to document recognition
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing (2020) — 228 citations
BERT Loses Patience: Fast and Robust Inference with Early Exit (2020) — 447 citations
An Effective Neural Network Model for Graph-based Dependency Parsing (2015) — 62 citations
Max-Margin Tensor Neural Network for Chinese Word Segmentation (2014) — 168 citations
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression (2021) — 47 citations
Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting (2019) — 19 citations
Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion (2015) — 58 citations
Lossless Acceleration for Seq2seq Generation with Aggressive Decoding (2022) — 24 citations
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation (2022) — 189 citations
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding (2024) — 297 citations
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration (2023) — 302 citations
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding (2021) — 77 citations
Self-Adversarial Learning with Comparative Discrimination for Text Generation (2020) — 20 citations
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction (2020) — 48 citations
Improving Grammatical Error Correction with Machine Translation Pairs (2019) — 43 citations
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study (2018) — 87 citations
Fluency Boost Learning and Inference for Neural Grammatical Error Correction (2018) — 107 citations