:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sun, Maochen, Zhang, Youzhi, Meng, Gaofeng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.09308
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Docking Game: Loop Self-Play for Fast, Dynamic, and Accurate Prediction of Flexible Protein-Ligand Binding
by: Zhang, Youzhi, et al.
Published: (2025)

MEMBOT: Memory-Based Robot in Intermittent POMDP
by: Liang, Youzhi, et al.
Published: (2025)

Direct Alignment of Language Models via Quality-Aware Self-Refinement
by: Yu, Runsheng, et al.
Published: (2024)

Mozi: Governed Autonomy for Drug Discovery LLM Agents
by: Cao, He, et al.
Published: (2026)

MADD: Multi-Agent Drug Discovery Orchestra
by: Solovev, Gleb V., et al.
Published: (2025)

Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak Behaviors
by: Zhao, Yi, et al.
Published: (2025)

BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining
by: Liang, Wen, et al.
Published: (2024)

CoMaTrack: Competitive Multi-Agent Game-Theoretic Tracking with Vision-Language-Action Models
by: Liu, Youzhi, et al.
Published: (2026)

DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery
by: Li, Kun, et al.
Published: (2025)

Preference-Aware Memory Update for Long-Term LLM Agents
by: Sun, Haoran, et al.
Published: (2025)

LLM Agent Swarm for Hypothesis-Driven Drug Discovery
by: Song, Kevin, et al.
Published: (2025)

Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
by: Yang, Maochen, et al.
Published: (2025)

A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing
by: Jia, Jianguo, et al.
Published: (2023)

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
by: Zhang, Yikun, et al.
Published: (2026)

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery
by: Liu, Tianyu, et al.
Published: (2026)

AeroVerse: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World Models
by: Yao, Fanglong, et al.
Published: (2024)

RAG-Enhanced Collaborative LLM Agents for Drug Discovery
by: Lee, Namkyeong, et al.
Published: (2025)

Contrastive Multi-Task Learning with Solvent-Aware Augmentation for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)

Auditing Cascading Risks in Multi-Agent Systems via Semantic-Geometric Co-evolution
by: Luo, Zixun, et al.
Published: (2026)

Differentiable Constraint-Based Causal Discovery
by: Zhou, Jincheng, et al.
Published: (2025)

Knowledge-Aware Self-Correction in Language Models via Structured Memory Graphs
by: Saha, Swayamjit
Published: (2025)

Constraint-Aware Route Recommendation from Natural Language via Hierarchical LLM Agents
by: Zhe, Tao, et al.
Published: (2025)

Can AI Agents Design and Implement Drug Discovery Pipelines?
by: Smbatyan, Khachik, et al.
Published: (2025)

PDE-Agent: A toolchain-augmented multi-agent framework for PDE solving
by: Liu, Jianming, et al.
Published: (2025)

REMem: Reasoning with Episodic Memory in Language Agent
by: Shu, Yiheng, et al.
Published: (2026)

Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
by: Lan, Jing, et al.
Published: (2025)

Prism: An Evolutionary Memory Substrate for Multi-Agent Open-Ended Discovery
by: Mishra, Suyash
Published: (2026)

SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents
by: Zhu, Kunlun, et al.
Published: (2025)

A Foundation Chemical Language Model for Comprehensive Fragment-Based Drug Discovery
by: Ho, Alexander, et al.
Published: (2025)

MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming
by: Li, Yuan, et al.
Published: (2023)

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
by: Sheikholeslami, Mahsa, et al.
Published: (2024)

Semi-parametric Memory Consolidation: Towards Brain-like Deep Continual Learning
by: Liu, Geng, et al.
Published: (2025)

Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory
by: Liu, Jiaqi, et al.
Published: (2026)

Memory Intelligence Agent
by: Qiao, Jingyang, et al.
Published: (2026)

Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics
by: Zhou, Lianhao, et al.
Published: (2025)

Lightweight LLM Agent Memory with Small Language Models
by: Zhang, Jiaquan, et al.
Published: (2026)

On the Structural Memory of LLM Agents
by: Zeng, Ruihong, et al.
Published: (2024)

MLLM-CL: Continual Learning for Multimodal Large Language Models
by: Zhao, Hongbo, et al.
Published: (2025)

Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
by: Kim, Byeonghwi, et al.
Published: (2023)

Efficient Skill Discovery via Regret-Aware Optimization
by: Zhang, He, et al.
Published: (2025)