Junzhe Wang
15 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (35) π Cross-Pollinator (14)
π
Conference Polyglot
(6)
π₯
Mega-Team
(21)
ποΈ
Keyword Collector
(55)
π
Century Club
(11)
π₯
Unstoppable
(5)
Conferences
ACL (9)
AAAI (1)
CVPR (1)
ECCV (1)
EMNLP (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
instruction set architecture
(2)
reinforcement learning
(2)
named entity recognition
(2)
transfer learning
(2)
representation learning
(2)
few-shot learning
(1)
benchmark evaluation
(1)
contrastive learning
(1)
question answering
(1)
neural machine translation
(1)
evaluation framework
(1)
trajectory prediction
(1)
class-incremental learning
(1)
relation extraction
(1)
semantic matching
(1)
computational efficiency
(1)
fine-grained classification
(1)
neural architecture search
(1)
prototype learning
(1)
Papers
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
ACL 2026
Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
ACL 2026
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
ACL 2026
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
AAAI 2026
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
EMNLP 2025
AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments
ACL 2025
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
ECCV 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
ICML 2024
Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures
NAACL 2024
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
ACL 2023
Learning βOβ Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER
ACL 2023
Coarse-to-fine Few-shot Learning for Named Entity Recognition
ACL 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
ACL 2023
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
ACL 2022
ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework
CVPR 2022