kehan Guo
11 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
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Keywords
large language model
(4)
in-context learning
(2)
graph neural network
(2)
machine unlearning
(2)
few-shot learning
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multimodal learning
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question answering
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logical reasoning
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uncertainty quantification
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adversarial learning
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evaluation benchmark
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model evaluation
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evaluation framework
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machine learning
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mixture of expert
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foundation model
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agent learning
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multimodal large language model
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knowledge editing
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Papers
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
IJCAI 2025
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
ACL 2025
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis
ACL 2025
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
EMNLP 2025
Defending Jailbreak Prompts via In-Context Adversarial Game
EMNLP 2024
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
ACL 2024
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
NIPS 2024
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
AAAI 2024
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
NIPS 2023
Graph-based Molecular Representation Learning
IJCAI 2023
Compositional Mathematical Encoding for Math Word Problems
ACL 2023