Jiaxing Zhang
23 papers · 2012–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(13)
🏆
Keyword Champion
🧬
Topic Evolution
🗃️
Keyword Collector
(129)
🚀
Conference Pioneer
💎
Century Club
(23)
📈
Trend Setter
⚡
Prolific Year
(6)
Conferences
ACL (7)
CVPR (2)
EMNLP (2)
ICML (2)
NAACL (2)
NIPS (2)
NSDI (2)
AAAI (1)
COLING (1)
IJCAI (1)
OSDI (1)
Top co-authors
Research topics
Keywords
named entity recognition
(3)
language model
(3)
large language model
(3)
question answering
(3)
commonsense reasoning
(2)
information extraction
(2)
hallucination mitigation
(2)
self-supervised learning
(2)
multimodal learning
(2)
neural network
(2)
neural network training
(1)
sentiment analysis
(1)
natural language processing
(1)
text classification
(1)
feature extraction
(1)
benchmark evaluation
(1)
contrastive learning
(1)
domain adaptation
(1)
weakly supervised learning
(1)
uncertainty modeling
(1)
Papers
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
IJCAI 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
ICML 2025
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models
NAACL 2025
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation
NAACL 2025
TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control
NSDI 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NIPS 2024
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences
ACL 2024
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training
ACL 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
ACL 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
ICML 2024
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning
ACL 2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective
ACL 2023
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model
CVPR 2023
Solving Math Word Problems via Cooperative Reasoning induced Language Models
ACL 2023
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
EMNLP 2023
Flat Multi-modal Interaction Transformer for Named Entity Recognition
COLING 2022
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
EMNLP 2022
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
ACL 2022
Long Short-Term Sample Distillation
AAAI 2020
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification
CVPR 2015
Attentional Neural Network: Feature Selection Using Cognitive Feedback
NIPS 2014
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
NSDI 2012
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE
OSDI 2012