Jiatong Li
18 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 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)
Top co-authors
Research topics
Keywords
large language model
(5)
weakly supervised learning
(2)
reinforcement learning
(2)
data augmentation
(2)
benchmark evaluation
(1)
semi-supervised learning
(1)
image classification
(1)
curriculum learning
(1)
zero-shot learning
(1)
uncertainty quantification
(1)
object detection
(1)
mathematical reasoning
(1)
direct preference optimization
(1)
noisy label learning
(1)
cognitive modeling
(1)
learner modeling
(1)
few-shot learning
(1)
model evaluation
(1)
preference optimization
(1)
active learning
(1)
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