Qi He
19 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (7) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (36)
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Conference Polyglot
(7)
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(10)
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Prolific Year
(14)
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Century Club
(16)
ποΈ
Keyword Collector
(63)
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The Questioner
Conferences
ACL (8)
EMNLP (3)
ICLR (2)
NAACL (2)
AAAI (1)
AISTATS (1)
ICCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
large language model
(6)
knowledge distillation
(2)
machine unlearning
(2)
domain adaptation
(2)
question answering
(2)
retrieval-augmented generation
(2)
model compression
(2)
information retrieval
(1)
few-shot learning
(1)
reinforcement learning
(1)
natural language inference
(1)
chain-of-thought reasoning
(1)
instruction tuning
(1)
model unlearning
(1)
multi-task learning
(1)
graph structure
(1)
logical reasoning
(1)
question generation
(1)
instruction following
(1)
object detection
(1)
Papers
Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data
ACL 2026
STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning
ACL 2026
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
AAAI 2026
A General Framework to Enhance Fine-tuning-based LLM Unlearning
ACL 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
ACL 2025
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
ACL 2025
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
AISTATS 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
Dual-Rate Dynamic Teacher for Source-Free Domain Adaptive Object Detection
ICCV 2025
MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis
ICLR 2025
Catastrophic Failure of LLM Unlearning via Quantization
ICLR 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
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
NAACL 2025
To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach
EMNLP 2025
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association
ACL 2025
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
ACL 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