Chen-Yu Lee
40 papers · 2014–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (11)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Academic Marathon
(11)
π€
Dynamic Duo
(27)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Trend Setter
β‘
Prolific Year
(7)
β
The Questioner
ποΈ
Keyword Collector
(182)
π
Century Club
(38)
π₯
Unstoppable
(12)
Conferences
ACL (11)
CVPR (7)
ICLR (3)
ICML (3)
NAACL (3)
AAAI (2)
AISTATS (2)
EMNLP (2)
WACV (2)
EACL (1)
ECCV (1)
ICCV (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
knowledge distillation
(4)
zero-shot learning
(4)
language model
(4)
unsupervised learning
(3)
retrieval-augmented generation
(3)
multi-task learning
(3)
multimodal learning
(3)
document information extraction
(3)
information extraction
(3)
document understanding
(3)
image classification
(2)
distribution alignment
(2)
positional encoding
(2)
prompt learning
(2)
convolutional neural network
(2)
named entity recognition
(2)
question answering
(2)
domain adaptation
(2)
deep neural network
(2)
Papers
When One LLM Drools, Multi-LLM Collaboration Rules
ACL 2026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
EACL 2026
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
ACL 2025
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model
NAACL 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
ICLR 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
ICLR 2025
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
ICML 2025
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
ACL 2025
TableRAG: Million-Token Table Understanding with Language Models
NIPS 2024
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
ACL 2024
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization
ACL 2024
LMDX: Language Model-based Document Information Extraction and Localization
ACL 2024
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
EMNLP 2024
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
ICLR 2024
CodecLM: Aligning Language Models with Tailored Synthetic Data
NAACL 2024
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
QueryForm: A Simple Zero-shot Form Entity Query Framework
ACL 2023
Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval
CVPR 2023
Multimodal Prompting With Missing Modalities for Visual Recognition
CVPR 2023
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
ACL 2023
Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning
WACV 2023
Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types
WACV 2023
Prefix Conditioning Unifies Language and Label Supervision
CVPR 2023
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
ACL 2022
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
ECCV 2022
Learning To Prompt for Continual Learning
CVPR 2022
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
AAAI 2022
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
IJCNLP 2021
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
ACL 2021
Learning to Branch for Multi-Task Learning
ICML 2020
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
CVPR 2019
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
ICML 2018
RoomNet: End-To-End Room Layout Estimation
ICCV 2017
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
AISTATS 2016
Recursive Recurrent Nets With Attention Modeling for OCR in the Wild
CVPR 2016
Deeply-Supervised Nets
AISTATS 2015
Region-based Discriminative Feature Pooling for Scene Text Recognition
CVPR 2014