Zihan Zhang
56 papers · 2019–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 21 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zihan Zhang?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
7 papers
· 2022–2025
· EMNLP, ACL, NAACL
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Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
EMNLP 2025
MedINST: Meta Dataset of Biomedical Instructions
EMNLP 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
ACL 2024
CITB: A Benchmark for Continual Instruction Tuning
EMNLP 2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
EMNLP 2023
Turn-Level Active Learning for Dialogue State Tracking
EMNLP 2023
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics
NAACL 2022
15 papers whose co-authors appear nowhere else under this name
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
AAAI 2026
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
AAAI 2026
Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark
ACL 2026
Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation
AAAI 2026
NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction
WACV 2026
Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
COLT 2026
Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
ACL 2025
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
NeurIPS 2024
Classification with Deep Neural Networks and Logistic Loss
JMLR 2024
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition
COLING 2024
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
NeurIPS 2023
Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes
COLT 2023
The HCCL System for the NIST SRE21
Interspeech 2022
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
AAAI 2021
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
NeurIPS 2019