:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lai, Yilong, Yang, Yipin, Wu, Jialong, Mo, Fengran, Wang, Zhenglin, Liang, Ting, Lin, Jianguo, Yang, Keping
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2510.25333
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation
by: Lai, Yilong, et al.
Published: (2025)

SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding
by: Wang, Zhenglin, et al.
Published: (2024)

SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation
by: Wu, Jialong, et al.
Published: (2024)

AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment
by: Lai, Yilong, et al.
Published: (2024)

Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
by: Wang, Zhenglin, et al.
Published: (2025)

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
by: Mo, Fengran, et al.
Published: (2026)

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
by: Li, Weizhen, et al.
Published: (2025)

Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation
by: Shao, Qiwei, et al.
Published: (2024)

Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
by: Zhou, Yue, et al.
Published: (2026)

O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL
by: Yao, Yi, et al.
Published: (2026)

A-MEM: Agentic Memory for LLM Agents
by: Xu, Wujiang, et al.
Published: (2025)

What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA
by: He, Xinjie, et al.
Published: (2026)

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
by: Li, Chuan, et al.
Published: (2025)

Memp: Exploring Agent Procedural Memory
by: Fang, Runnan, et al.
Published: (2025)

ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting
by: Tian, Yuxing, et al.
Published: (2026)

Memory-Augmented Agent Training for Business Document Understanding
by: Liu, Jiale, et al.
Published: (2024)

TeleMem: Building Long-Term and Multimodal Memory for Agentic AI
by: Chen, Chunliang, et al.
Published: (2025)

Measuring the Impact of Lexical Training Data Coverage on Hallucination Detection in Large Language Models
by: Zhang, Shuo, et al.
Published: (2025)

Language Modeling Using Tensor Trains
by: Su, Zhan, et al.
Published: (2024)

Conversational Search: From Fundamentals to Frontiers in the LLM Era
by: Mo, Fengran, et al.
Published: (2025)

AgentV-RL: Scaling Reward Modeling with Agentic Verifier
by: Zhang, Jiazheng, et al.
Published: (2026)

MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
by: He, Zexue, et al.
Published: (2026)

MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
by: Zhang, Shengtao, et al.
Published: (2026)

GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
by: Zhou, Jialong, et al.
Published: (2025)

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
by: Qi, Zehan, et al.
Published: (2024)

RAGShaper: Eliciting Sophisticated Agentic RAG Skills via Automated Data Synthesis
by: Tao, Zhengwei, et al.
Published: (2026)

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks
by: Liu, Kai, et al.
Published: (2025)

DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
by: Zhang, Qi, et al.
Published: (2026)

Can Large Language Models Understand Preferences in Personalized Recommendation?
by: Tan, Zhaoxuan, et al.
Published: (2025)

ConvGQR: Generative Query Reformulation for Conversational Search
by: Mo, Fengran, et al.
Published: (2023)

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
by: Wang, Zhenting, et al.
Published: (2026)

Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
by: Yu, Yi, et al.
Published: (2026)

Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design
by: Chen, Shengchao, et al.
Published: (2026)

DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution
by: Mao, Yulong, et al.
Published: (2024)

SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models
by: Qi, Rui, et al.
Published: (2025)

PREPING: Building Agent Memory without Tasks
by: Choi, Yumin, et al.
Published: (2026)

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
by: Yang, Sihui, et al.
Published: (2024)

Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm
by: Mo, Yuhong, et al.
Published: (2024)

MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory
by: Wang, Yuhui, et al.
Published: (2026)

INMS: Memory Sharing for Large Language Model based Agents
by: Gao, Hang, et al.
Published: (2024)