Hongbang Yuan
9 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Artificial Intelligence
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Deep Learning
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Machine Learning
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Natural Language Processing
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Knowledge & Reasoning
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Keywords
large language model
(4)
language model
(2)
knowledge unlearning
(2)
attention mechanism
(2)
attention head
(2)
adversarial attack
(2)
knowledge editing
(1)
text representation
(1)
knowledge extraction
(1)
commonsense knowledge
(1)
knowledge representation
(1)
temporal information
(1)
visual reasoning
(1)
natural language understanding
(1)
preference learning
(1)
knowledge graph
(1)
model inference
(1)
chain-of-thought reasoning
(1)
distribution shift
(1)
preference alignment
(1)
Papers
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
ACL 2026
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
NAACL 2025
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
ACL 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
ACL 2024
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
NeurIPS 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
EMNLP 2024
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge
ACL 2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding
EMNLP 2022