Jie He
17 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (42)
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Interdisciplinary Bridge
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Hot Topic Early Bird
🗺️
Taxonomy Completionist
(42)
🧬
Topic Evolution
🗃️
Keyword Collector
(79)
💎
Century Club
(15)
🔥
Unstoppable
(7)
Conferences
ACL (5)
AAAI (3)
NAACL (3)
COLING (2)
EMNLP (2)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
pretrained language model
(3)
diagnostic evaluation
(2)
error detection
(2)
pre-trained language model
(2)
text generation
(2)
language model
(2)
commonsense reasoning
(2)
large language model
(2)
binary classification
(1)
question answering
(1)
robotic manipulation
(1)
neural machine translation
(1)
contrastive learning
(1)
multimodal learning
(1)
video prediction
(1)
knowledge extraction
(1)
few-shot learning
(1)
evaluation framework
(1)
supervised contrastive learning
(1)
text classification
(1)
Papers
H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation
AAAI 2026
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
ACL 2026
Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
COLING 2025
GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation
ACL 2025
MiCEval: Unveiling Multimodal Chain of Thought’s Quality via Image Description and Reasoning Steps
NAACL 2025
Evaluating and Improving Graph to Text Generation with Large Language Models
NAACL 2025
S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution
AAAI 2024
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing
NAACL 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
AAAI 2024
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
ACL 2024
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
ACL 2023
Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
EMNLP 2023
Evaluating Discourse Cohesion in Pre-trained Language Models
COLING 2022
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models
ACL 2021
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models
IJCNLP 2021
The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
EMNLP 2020
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
NIPS 2019