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Jiatong Li

18 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13)
🌍 Conference Polyglot (11) 🏃 Academic Marathon (6) 🗃️ Keyword Collector (85) Prolific Year (6) 💎 Century Club (16) 🔥 Unstoppable (5) The Questioner

Conferences

NIPS (3) AAAI (2) ACL (2) EMNLP (2) ICCV (2) NAACL (2) CVPR (1) ECCV (1) ICML (1) IJCAI (1) MICCAI (1)

Research topics

Papers

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities ACL 2026 CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation MICCAI 2025 LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search NAACL 2025 Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning CVPR 2025 ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning EMNLP 2025 Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification EMNLP 2025 am-ELO: A Stable Framework for Arena-based LLM Evaluation ICML 2025 Computerized Adaptive Testing via Collaborative Ranking NIPS 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations NIPS 2024 Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023 Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing ACL 2023 ALWOD: Active Learning for Weakly-Supervised Object Detection ICCV 2023 ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing ECCV 2022 CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing ICCV 2021 CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval AAAI 2021 Understanding and Improving Early Stopping for Learning with Noisy Labels NIPS 2021 The Strength of the Weakest Supervision: Topic Classification Using Class Labels NAACL 2019