:: Library Catalog

Íomhá chlúdaigh

Sábháilte in:

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Ye, Rui, Pang, Xianghe, Chai, Jingyi, Chen, Jiaao, Yin, Zhenfei, Xiang, Zhen, Dong, Xiaowen, Shao, Jing, Chen, Siheng
Formáid:	Preprint
Foilsithe / Cruthaithe:	2024
Ábhair:	Computation and Language Artificial Intelligence Human-Computer Interaction Machine Learning
Rochtain ar líne:	https://arxiv.org/abs/2412.01708
Clibeanna:	Cuir clib leis Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!

Míreanna comhchosúla

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2025)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2025)

Incentivizing Inclusive Contributions in Model Sharing Markets
de réir: Zhang, Enpei, et al.
Foilsithe / Cruthaithe: (2025)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
de réir: Pang, Xianghe, et al.
Foilsithe / Cruthaithe: (2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
de réir: Tang, Shuo, et al.
Foilsithe / Cruthaithe: (2024)

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2024)

VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
de réir: Chen, Menglan, et al.
Foilsithe / Cruthaithe: (2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2025)

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2024)

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2024)

LLM-REVal: Can We Trust LLM Reviewers Yet?
de réir: Li, Rui, et al.
Foilsithe / Cruthaithe: (2025)

Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
de réir: Zhao, Yangheng, et al.
Foilsithe / Cruthaithe: (2023)

SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?
de réir: Chai, Jingyi, et al.
Foilsithe / Cruthaithe: (2025)

Pragmatic Communication in Multi-Agent Collaborative Perception
de réir: Hu, Yue, et al.
Foilsithe / Cruthaithe: (2024)

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
de réir: Liu, Zexi, et al.
Foilsithe / Cruthaithe: (2025)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
de réir: Ye, Rui, et al.
Foilsithe / Cruthaithe: (2024)

SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
de réir: Yin, Sheng, et al.
Foilsithe / Cruthaithe: (2024)

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
de réir: Du, Yaxin, et al.
Foilsithe / Cruthaithe: (2025)

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
de réir: Pang, Xianghe, et al.
Foilsithe / Cruthaithe: (2025)

Large Language Models Penetration in Scholarly Writing and Peer Review
de réir: Zhou, Li, et al.
Foilsithe / Cruthaithe: (2025)

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems
de réir: Ren, Qibing, et al.
Foilsithe / Cruthaithe: (2025)

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
de réir: Chen, Zeren, et al.
Foilsithe / Cruthaithe: (2023)

Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize Risk
de réir: Chen, Zichen, et al.
Foilsithe / Cruthaithe: (2025)

Dynamic Skill Adaptation for Large Language Models
de réir: Chen, Jiaao, et al.
Foilsithe / Cruthaithe: (2024)

Can We Volunteer Out of the Peer Review Crisis?
de réir: Tang, Theo, et al.
Foilsithe / Cruthaithe: (2026)

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
de réir: Liu, Shengyuan, et al.
Foilsithe / Cruthaithe: (2025)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
de réir: Qian, Chen, et al.
Foilsithe / Cruthaithe: (2024)

Are We There Yet? Unravelling Usability Challenges and Opportunities in Collaborative Immersive Analytics for Domain Experts
de réir: Nafis, Fahim Arsad, et al.
Foilsithe / Cruthaithe: (2024)

Large Language Models for IT Automation Tasks: Are We There Yet?
de réir: Hassan, Md Mahadi, et al.
Foilsithe / Cruthaithe: (2025)

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
de réir: Gupta, Rushil, et al.
Foilsithe / Cruthaithe: (2025)

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
de réir: Du, Yaxin, et al.
Foilsithe / Cruthaithe: (2025)

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
de réir: Atil, Berk, et al.
Foilsithe / Cruthaithe: (2025)

GNNs as Predictors of Agentic Workflow Performances
de réir: Zhang, Yuanshuo, et al.
Foilsithe / Cruthaithe: (2025)

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
de réir: Zhang, Zhehao, et al.
Foilsithe / Cruthaithe: (2024)

Commitment Checklist: Auditing Author Commitments in Peer Review
de réir: Chen, Chung-Chi, et al.
Foilsithe / Cruthaithe: (2026)

Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step
de réir: Yang, Jingyi, et al.
Foilsithe / Cruthaithe: (2025)

Histopathology Slide Indexing and Search: Are We There Yet?
de réir: Shang, Helen H., et al.
Foilsithe / Cruthaithe: (2023)

A Decade's Battle on Dataset Bias: Are We There Yet?
de réir: Liu, Zhuang, et al.
Foilsithe / Cruthaithe: (2024)

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
de réir: Wang, Wenhao, et al.
Foilsithe / Cruthaithe: (2024)

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
de réir: Zhang, Yongting, et al.
Foilsithe / Cruthaithe: (2024)