:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhiyang, Chen, Xi, Yang, Fangkai, Qin, Xiaoting, Du, Chao, Cheng, Xi, Liu, Hangxin, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computers and Society
Online Access:	https://arxiv.org/abs/2409.17642
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Vision of Autonomic Computing: Can LLMs Make It a Reality?
by: Zhang, Zhiyang, et al.
Published: (2024)

Enabling Autonomic Microservice Management through Self-Learning Agents
by: Yu, Fenglin, et al.
Published: (2025)

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
by: Wang, Shouju, et al.
Published: (2025)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
by: Lu, Junting, et al.
Published: (2024)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
by: Peng, Yingzhe, et al.
Published: (2024)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, et al.
Published: (2024)

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
by: Zhuang, Ziyuan, et al.
Published: (2024)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
by: Hu, Lingxiang, et al.
Published: (2025)

Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
by: Cheng, Sitao, et al.
Published: (2024)

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
by: Fu, Wenjie, et al.
Published: (2026)

Pretrain Value, Not Reward: Decoupled Value Policy Optimization
by: Huang, Chenghua, et al.
Published: (2025)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
by: He, Minghua, et al.
Published: (2025)

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
by: Tan, Rongyuan, et al.
Published: (2026)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
by: Zheng, Jiani, et al.
Published: (2025)

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026)

Sharingan: Extract User Action Sequence from Desktop Recordings
by: Chen, Yanting, et al.
Published: (2024)

Beyond State Consistency: Behavior Consistency in Text-Based World Models
by: Huang, Youling, et al.
Published: (2026)

A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
by: Shi, Zhuofan, et al.
Published: (2026)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy
by: Wang, Lu, et al.
Published: (2024)

RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
by: Peng, Zhiyuan, et al.
Published: (2026)

Text2Grad: Reinforcement Learning from Natural Language Feedback
by: Wang, Hanyang, et al.
Published: (2025)

API Agents vs. GUI Agents: Divergence and Convergence
by: Zhang, Chaoyun, et al.
Published: (2025)

UFO: A UI-Focused Agent for Windows OS Interaction
by: Zhang, Chaoyun, et al.
Published: (2024)

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
by: Tang, Yuanmin, et al.
Published: (2024)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
by: Feng, Huawen, et al.
Published: (2024)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
by: Zhu, Runchuan, et al.
Published: (2025)

TaskWeaver: A Code-First Agent Framework
by: Qiao, Bo, et al.
Published: (2023)

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
by: Liao, Mengqi, et al.
Published: (2026)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
by: Liu, Jun, et al.
Published: (2024)

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
by: An, Kaikai, et al.
Published: (2024)

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing
by: Dong, Hang, et al.
Published: (2024)

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
by: Chen, Yue, et al.
Published: (2025)

Contrastive Learning with Negative Sampling Correction
by: Wang, Lu, et al.
Published: (2024)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
by: Ding, Ruomeng, et al.
Published: (2023)

G-KV: Decoding-Time KV Cache Eviction with Global Attention
by: Liao, Mengqi, et al.
Published: (2025)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning
by: Wang, Lu, et al.
Published: (2024)