← Authors

Liyuan Liu

27 papers · 2017–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (47) 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (100) πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (7)

Conferences

EMNLP (6) ICLR (6) ACL (4) ICML (3) AAAI (2) IJCNLP (2) NIPS (2) IJCAI (1) NAACL (1)

Top co-authors

Jiawei Han (12) Jingbo Shang (11) Xiang Ren (8) Jianfeng Gao (8) Xiaodong Liu (6) Chengyu Dong (6) Xiaotao Gu (3) Hong Chen (2) Qinyuan Ye (2) Lihao Lu (2)

Keywords

relation extraction (5) named entity recognition (5) distant supervision (5) sequence labeling (4) label noise (3) knowledge base (2) bias adjustment (2) neural network (2) attention mechanism (2) multi-instance learning (2) label distribution (2) weight adjustment (2) neural network optimization (2) domain adaptation (2) adversarial training (2) representation learning (2) annotation error (2) extractive summarization (1) knowledge distillation (1) weakly supervised learning (1)

Papers

On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025
Trajectory-Dependent Generalization Bounds for Pairwise Learning with Ο†-mixing Samples IJCAI 2025
Vector-ICL: In-context Learning with Continuous Vector Representations ICLR 2025
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs ICLR 2024
Toward Student-oriented Teacher Network Training for Knowledge Distillation ICLR 2024
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024
Fast-ELECTRA for Efficient Pre-training ICLR 2024
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NIPS 2022
On the Transformer Growth for Progressive BERT Training NAACL 2021
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training AAAI 2021
Towards Adaptive Residual Network Training: A Neural-ODE Perspective ICML 2020
Facet-Aware Evaluation for Extractive Summarization ACL 2020
On the Variance of the Adaptive Learning Rate and Beyond ICLR 2020
Understanding the Difficulty of Training Transformers EMNLP 2020
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction AAAI 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction IJCNLP 2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations IJCNLP 2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations EMNLP 2019
Arabic Named Entity Recognition: What Works and What’s Next ACL 2019
Reliability-aware Dynamic Feature Composition for Name Tagging ACL 2019
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling EMNLP 2018
Learning Named Entity Tagger using Domain-Specific Dictionary EMNLP 2018
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach EMNLP 2017