Weizhi Zhang
11 papers · 2023–2026 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (2) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (37) π§ Keyword Pioneer
π
Renaissance Researcher
(7)
π₯
Mega-Team
(20)
ποΈ
Keyword Collector
(52)
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Prolific Year
(6)
Conferences
ACL (6)
EMNLP (5)
Top co-authors
Keywords
large language model
(5)
multimodal large language model
(2)
semi-supervised learning
(2)
text classification
(1)
intent classification
(1)
collaborative filtering
(1)
few-shot learning
(1)
social media analysis
(1)
chain-of-thought reasoning
(1)
multimodal learning
(1)
synthetic datum
(1)
semantic knowledge
(1)
class imbalance
(1)
behavior cloning
(1)
distribution shift
(1)
in-context learning
(1)
consistency regularization
(1)
debiasing method
(1)
end-to-end learning
(1)
adversarial robustness
(1)
Papers
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
ACL 2026
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
ACL 2026
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
ACL 2026
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
EMNLP 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
EMNLP 2025
A Survey of RAG-Reasoning Systems in Large Language Models
EMNLP 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
ACL 2025
TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
ACL 2025
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
ACL 2024
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
EMNLP 2023