Zhaolu Kang

Orcid: 0009-0000-1163-1615

According to our database1, Zhaolu Kang authored at least 32 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dual-Pathway Circuits of Object Hallucination in Vision-Language Models.
CoRR, May, 2026

Omni-DeepSearch: A Benchmark for Audio-Driven Omni-Modal Deep Search.
CoRR, May, 2026

Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows.
CoRR, May, 2026

Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration.
CoRR, May, 2026

Penny Wise, Pixel Foolish: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations.
CoRR, April, 2026

NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons.
CoRR, April, 2026

FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models.
CoRR, April, 2026

Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning.
CoRR, April, 2026

TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs.
CoRR, February, 2026

CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras.
CoRR, February, 2026

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation.
CoRR, February, 2026

ModalImmune: Immunity Driven Unlearning via Self Destructive Training.
CoRR, February, 2026

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search.
CoRR, February, 2026

Conflict-Aware Client Selection for Multi-Server Federated Learning.
CoRR, February, 2026

EDIS: Diagnosing LLM Reasoning via Entropy Dynamics.
CoRR, February, 2026

zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing.
CoRR, February, 2026

Multimodal Multi-Agent Empowered Legal Judgment Prediction.
CoRR, January, 2026

QuantEval: A Benchmark for Financial Quantitative Tasks in Large Language Models.
CoRR, January, 2026

How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction.
CoRR, January, 2026

WebCryptoAgent: Agentic Crypto Trading with Web Informatics.
CoRR, January, 2026

When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life.
CoRR, January, 2026

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning.
CoRR, January, 2026

What Should I Cite? A RAG Benchmark for Academic Citation Prediction.
Proceedings of the ACM Web Conference 2026, 2026

Symmetry-Aware Causal Inference for Robust Neural PDE Solvers.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LaoBench: A Large-Scale Multidimensional Lao Benchmark for Large Language Models.
CoRR, November, 2025

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes.
CoRR, October, 2025

HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models.
CoRR, June, 2025

JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2025

MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024


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