Jingqi Tong
8 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(3)
Computer Vision
(2)
Machine Learning
(2)
Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Applications
(1)
Architectures
(1)
Generation · Natural Language Processing
(1)
Generation · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
large language model
(5)
question answering
(2)
logical reasoning
(1)
mathematical reasoning
(1)
in-context learning
(1)
parameter efficient
(1)
mutual information
(1)
scaling law
(1)
mixture of expert
(1)
vision-language model
(1)
continual pre-training
(1)
large vision-language model
(1)
multimodal reasoning
(1)
clinical evaluation
(1)
data contamination
(1)
long video understanding
(1)
few-shot demonstration
(1)
expert routing
(1)
multi-image reasoning
(1)
reasoning benchmark
(1)
Papers
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
ACL 2026
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
ACL 2026
OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Models
ACL 2026
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
CVPR 2026
VideoPro: Adaptive Program Reasoning for Long Video Understanding
ACL 2026
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
EMNLP 2025
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
EMNLP 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
EMNLP 2024