Qianyu He
18 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
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large language model
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instruction following
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natural language understanding
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complex instruction
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knowledge embedding
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language model
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logical reasoning
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Papers
Metaphor Reasoning is Meta-reasoning
ACL 2026
Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following
ACL 2026
What Makes an Ideal Quote? Recommending “Unexpected yet Rational” Quotations via Novelty
ACL 2026
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
ACL 2025
Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
EMNLP 2025
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models
ACL 2025
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
ICLR 2025
Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases
EMNLP 2024
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation
AAAI 2024
Small Language Model Can Self-Correct
AAAI 2024
Can Large Language Models Understand Real-World Complex Instructions?
AAAI 2024
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
ACL 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
EMNLP 2024
Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding
NAACL 2024
MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base
AAAI 2023
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
ACL 2023
Can Pre-trained Language Models Interpret Similes as Smart as Human?
ACL 2022
Language Models as Knowledge Embeddings
IJCAI 2022