Yuhan Chen
27 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Cross-Pollinator (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (5)
π
Academic Marathon
(5)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(62)
π§¬
Topic Evolution
π
Century Club
(23)
ποΈ
Keyword Collector
(110)
π₯
Unstoppable
(5)
β‘
Prolific Year
(11)
Conferences
ACL (8)
NIPS (6)
AAAI (5)
EMNLP (3)
ICLR (2)
EACL (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
large language model
(9)
in-context learning
(3)
context awareness
(3)
attention mechanism
(3)
node classification
(2)
text generation
(2)
graph neural network
(2)
visual question answering
(2)
few-shot learning
(2)
physics-informed neural network
(2)
rotary position embedding
(2)
neural network
(2)
cognitive modeling
(1)
pose estimation
(1)
representation learning
(1)
causal reasoning
(1)
domain adaptation
(1)
transformer architecture
(1)
model compression
(1)
probabilistic modeling
(1)
Papers
Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
ACL 2026
Looking Beyond the One: Operationalizing and Eliciting Visual Ambiguity in VLLMs
ACL 2026
CPT-Agent: A Cognitive Process Theory-driven Framework for Student Simulation in Writing Development
ACL 2026
PMGS: Reconstruction of Projectile Motion Across Large Spatiotemporal Spans via 3D Gaussian Splatting
AAAI 2026
Investigating the Security Threat Arising from βYes-Noβ Implicit Bias in Large Language Models
AAAI 2025
Enhancing Attributed Question Answering using Tailored Progressive Curriculum Learning
EMNLP 2025
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
ICLR 2025
HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation
ACL 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
ICLR 2025
An Analysis and Mitigation of the Reversal Curse
EMNLP 2024
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning
ACL 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NIPS 2024
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
NIPS 2024
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
NIPS 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
NIPS 2024
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
AAAI 2024
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
ACL 2024
AS-ES Learning: Towards efficient CoT learning in small models
ACL 2024
FlexiQA: Leveraging LLMβs Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering
EACL 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
JMLR 2024
DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations
ACL 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
IJCAI 2023
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability
AAAI 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
EMNLP 2023
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
AAAI 2022
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
NIPS 2022
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
NIPS 2021