:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Rui, Zhang, Zeyu, Bo, Xiaohe, Dai, Quanyu, Li, Chaozhuo, Wen, Feng, Chen, Xu
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	https://arxiv.org/abs/2602.08009
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework
por: Zhang, Zeyu, et al.
Publicado: (2025)

CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
por: Li, Rui, et al.
Publicado: (2025)

Prompt and Parameter Co-Optimization for Large Language Models
por: Bo, Xiaohe, et al.
Publicado: (2025)

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
por: Tan, Haoran, et al.
Publicado: (2025)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
por: Li, Rui, et al.
Publicado: (2025)

A Survey on the Memory Mechanism of Large Language Model based Agents
por: Zhang, Zeyu, et al.
Publicado: (2024)

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
por: Zhang, Zeyu, et al.
Publicado: (2024)

HAPS: Hierarchical LLM Routing with Joint Architecture and Parameter Search
por: Tian, Zihang, et al.
Publicado: (2026)

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge
por: Chen, Luyu, et al.
Publicado: (2025)

How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants
por: Feng, Xueyang, et al.
Publicado: (2026)

MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
por: Zhang, Zeyu, et al.
Publicado: (2025)

Improving Retrospective Language Agents via Joint Policy Gradient Optimization
por: Feng, Xueyang, et al.
Publicado: (2025)

From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
por: Tan, Haoran, et al.
Publicado: (2026)

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game
por: Shi, Zijing, et al.
Publicado: (2023)

CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems
por: Ma, Ziyang, et al.
Publicado: (2026)

SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation
por: Li, Xiaoyuan, et al.
Publicado: (2026)

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
por: Feng, Xueyang, et al.
Publicado: (2025)

Evaluating Generative Ad Hoc Information Retrieval
por: Gienapp, Lukas, et al.
Publicado: (2023)

FairJudge: An Adaptive, Debiased, and Consistent LLM-as-a-Judge
por: Yang, Bo, et al.
Publicado: (2026)

Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning
por: Sui, Yi, et al.
Publicado: (2026)

Current Practices for Building LLM-Powered Reasoning Tools Are Ad Hoc -- and We Can Do Better
por: Bembenek, Aaron
Publicado: (2025)

Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
por: Yan, Bingyu, et al.
Publicado: (2025)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
por: Liu, Zheng, et al.
Publicado: (2024)

Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
por: Sui, Yi, et al.
Publicado: (2025)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
por: Ji, Jiarui, et al.
Publicado: (2024)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
por: Yin, Jun, et al.
Publicado: (2024)

Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
por: Gan, Zeyu, et al.
Publicado: (2024)

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
por: Li, Rui, et al.
Publicado: (2024)

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
por: Xu, Hao, et al.
Publicado: (2026)

LLM-Ehnanced Holonic Architecture for Ad-Hoc Scalable SoS
por: Ashfaq, Muhammad, et al.
Publicado: (2025)

Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability
por: Chen, Zejian, et al.
Publicado: (2026)

Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters
por: Song, Yixin, et al.
Publicado: (2024)

Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution
por: Zhang, Xiaozhe, et al.
Publicado: (2026)

AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
por: Yang, Yingxuan, et al.
Publicado: (2025)

Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization
por: Zhou, Hongli, et al.
Publicado: (2026)

Let's Think Var-by-Var: Large Language Models Enable Ad Hoc Probabilistic Reasoning
por: Xia, Shepard, et al.
Publicado: (2024)

WavLLM: Towards Robust and Adaptive Speech Large Language Model
por: Hu, Shujie, et al.
Publicado: (2024)

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey
por: Zhu, Jiachen, et al.
Publicado: (2025)

Ad-Hoc Human-AI Coordination Challenge
por: Dizdarević, Tin, et al.
Publicado: (2025)

Feint and Attack: Attention-Based Strategies for Jailbreaking and Protecting LLMs
por: Pu, Rui, et al.
Publicado: (2024)