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Yuhan Chen

27 papers · 2021–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5)
πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (62) 🧬 Topic Evolution πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (110) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (11)

Conferences

ACL (8) NIPS (6) AAAI (5) EMNLP (3) ICLR (2) EACL (1) IJCAI (1) JMLR (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 β€œYes-No” 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 LLM’s 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