Qi He
20 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (43) π Conference Polyglot Β· Silver π€ Dynamic Duo (10)
ποΈ
Keyword Collector
(90)
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(17)
Core AI
(15)
Machine Learning
(10)
Natural Language Processing
(9)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Resources & Methods
(5)
Deep Learning
(4)
Applications
(4)
Learning Types Β· Deep Learning
(4)
Learning Paradigms
(2)
Models
(2)
Optimization & Theory
(2)
Understanding
(2)
Computer Vision
(1)
Keywords
large language model
(9)
model compression
(3)
machine unlearning
(3)
knowledge distillation
(2)
question answering
(2)
domain adaptation
(2)
few-shot prompting
(2)
retrieval-augmented generation
(2)
instruction following
(2)
few-shot learning
(1)
in-context learning
(1)
natural language inference
(1)
multi-task learning
(1)
chain-of-thought reasoning
(1)
privacy attack
(1)
logical reasoning
(1)
semi-supervised learning
(1)
visual grounding
(1)
question generation
(1)
model unlearning
(1)
Papers
Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data
ACL 2026
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
AAAI 2026
Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following
CVPR 2026
STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning
ACL 2026
A General Framework to Enhance Fine-tuning-based LLM Unlearning
ACL 2025
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
AISTATS 2025
Catastrophic Failure of LLM Unlearning via Quantization
ICLR 2025
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
ACL 2025
Dual-Rate Dynamic Teacher for Source-Free Domain Adaptive Object Detection
ICCV 2025
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association
ACL 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
NAACL 2025
MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis
ICLR 2025
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
ACL 2025
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness
ICML 2025
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
NAACL 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
ACL 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach
EMNLP 2025
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
ACL 2024
Enhancing Generalization in Natural Language Inference by Syntax
EMNLP 2020