Yanhong Li
11 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🗃️ Keyword Collector (54)
💎
Century Club · Bronze
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The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Core AI
(4)
Application Areas
(3)
Architectures
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Applications
(1)
Keywords
layer-wise gradient
(2)
large language model
(2)
multimodal learning
(1)
sign language translation
(1)
knowledge unlearning
(1)
video transformer
(1)
episodic memory
(1)
parameter-efficient fine-tuning
(1)
time series forecasting
(1)
gradient-based method
(1)
singular value decomposition
(1)
nuclear norm
(1)
diffusion model
(1)
long short-term memory
(1)
language model
(1)
time series prediction
(1)
training stability
(1)
data quality
(1)
self-supervised pretraining
(1)
image editing
(1)
Papers
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
ACL 2026
Chunk-Distilled Language Modeling
ICLR 2025
Context-Efficient Retrieval with Factual Decomposition
NAACL 2025
Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models
EMNLP 2025
SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflow
NeurIPS 2025
Text or Pixels? Evaluating Efficiency and Understanding of LLMs with Visual Text Inputs
EMNLP 2025
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
ACL 2025
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting
AAAI 2024
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models
NAACL 2024
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
AAAI 2023
TTIC’s Submission to WMT-SLT 23
EMNLP 2023