AI Agent - arXivDaily 专题

2411.19583 2024-12-02 cs.LG cs.AI 62%

Solving Rubik's Cube Without Tricky Sampling

Yicheng Lin, Siyu Liang

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

2411.13116 2024-11-21 cs.LG cs.AI 62%

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning

Zhi Luo, Xiyuan Yang, Pan Zhou, Di Wang

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

2308.00629 2024-11-12 cs.LG cs.AI 62%

Dependency Structure Search Bayesian Optimization for Decision Making Models

Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to TMLR 10/2024

2312.17122 2024-10-29 cs.CL cs.AI stat.ML 62%

LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model

Haitao Jiang, Lin Ge, Yuhe Gao, Jianian Wang, Rui Song

专题命中工具调用：function calling(abstract)；分类 cs.AI、cs.CL

Comments Accepted by COLM2024

2307.10631 2024-10-28 cs.SE cs.AI 62%

Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck

Zhiwei Fu, Steven H. H. Ding, Furkan Alaca, Benjamin C. M. Fung, Philippe Charland

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.SE

Comments 13 pages and 4 figures. This work has been submitted to the IEEE for possible publication

2407.09985 2024-10-25 cs.AI cs.LG 62%

A Training Data Recipe to Accelerate A* Search with Language Models

Devaansh Gupta, Boyang Li

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments Accepted to Findings of EMNLP, 2024

2407.11070 2024-10-23 cs.LG cs.AI cs.CR 62%

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search

Kim Hammar, Neil Dhir, Rolf Stadler

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments This work has been submitted to the IEEE for possible publication

2410.09038 2024-10-15 cs.CL cs.AI 62%

SimpleStrat: Diversifying Language Model Generation with Stratification

Justin Wong, Yury Orlovskiy, Michael Luo, Sanjit A. Seshia, Joseph E. Gonzalez

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.CL

2410.05311 2024-10-10 cs.LG cs.AI 62%

ConceptLens: from Pixels to Understanding

Abhilekha Dalal, Pascal Hitzler

专题命中工具调用：tool use(abstract)；分类 cs.AI、cs.LG

2406.04886 2024-10-03 cs.CV cs.AI cs.CL 62%

Unveiling the Invisible: Captioning Videos with Metaphors

Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Sumit Shekhar

专题命中工具调用：tool use(abstract)；分类 cs.AI、cs.CL

2402.13754 2024-10-03 quant-ph cs.AI cs.LG 62%

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Akash Kundu

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments With many pages, figures and tables, I, Akash Kundu upload the final version of my thesis! Including reviewers response and a kind of brief overview of recent quantum architecture search methods

2410.00359 2024-10-02 cs.CL cs.AI 62%

Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness

Xiao Peng, Xufan Geng

专题命中工具调用：agentic(abstract)；分类 cs.AI、cs.CL

Comments 10 pages, 6 figures

2409.14762 2024-09-24 cs.CL cs.AI 62%

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?

Yuyan Chen, Tianhao Yu, Yueze Li, Songzhou Yan, Sijia Liu, Jiaqing Liang, Yanghua Xiao

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.CL

Comments Accepted to ACL 2024 (Findings)

2409.13537 2024-09-23 cs.CL cs.AI 62%

ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources

Shuting Yang, Zehui Liu, Wolfgang Mayer

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.CL

Comments 15 pages,3 figures, WISE2024

2405.00629 2024-09-18 cs.LG cs.AI 62%

HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach

Malte Lehna, Clara Holzhüter, Sven Tomforde, Christoph Scholz

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments 12 pages + 2 pages references, 9 Figures, submission planed in Sustainable Energy, Grids and Networks

2206.09743 2024-09-13 cs.AI cs.LG cs.SY eess.SY 62%

Guided Safe Shooting: model based reinforcement learning with safety constraints

Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

2409.04667 2024-09-11 cs.IR cs.CL cs.LG 62%

QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval

Hemanth Kandula, Damianos Karakos, Haoling Qiu, Benjamin Rozonoyer, Ian Soboroff, Lee Tarlin, Bonan Min

专题命中工具调用：agent(abstract)；分类 cs.CL、cs.LG

2408.01423 2024-08-05 cs.CL cs.AI 62%

Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting

Xiangyu Zhao, Chengqian Ma

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.CL

Comments 8 pages,4 figures

2408.01248 2024-08-05 cs.LG cs.AI 62%

Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system

Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments 13 pages, 10 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems,2024

2407.20147 2024-07-30 quant-ph cs.AI cs.ET cs.LG cs.NE 62%

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning

Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted by IEEE International Conference on Quantum Computing and Engineering - QCE 2024

2407.12016 2024-07-18 cs.CL cs.AI 62%

LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems

Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.CL

2404.01343 2024-07-18 cs.CL cs.AI 62%

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

Jingzhe Shi, Jialuo Li, Qinwei Ma, Zaiwen Yang, Huan Ma, Lei Li

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.CL

Comments Accepted by COLM 2024

2406.13655 2024-06-21 cs.LG cs.AI 62%

Improving GFlowNets with Monte Carlo Tree Search

Nikita Morozov, Daniil Tiapkin, Sergey Samsonov, Alexey Naumov, Dmitry Vetrov

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments ICML 2024 SPIGM Workshop

2406.11255 2024-06-18 cs.DB cs.AI cs.SE 62%

Liberal Entity Matching as a Compound AI Toolchain

Silvery D. Fu, David Wang, Wen Zhang, Kathleen Ge

专题命中工具调用：tool use(abstract)；分类 cs.AI、cs.SE

Comments 2 pages, compound ai systems 2024

2406.06792 2024-06-17 cs.LG cs.AI 62%

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness

Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments 17 pages

2406.07325 2024-06-12 cs.AI cs.LG 62%

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling

Constantin Waubert de Puiseau, Christian Dörpelkus, Jannik Peters, Hasan Tercan, Tobias Meisen

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Presented Workshop Paper at ICAPS2024

2405.12147 2024-06-12 cs.AI cs.CL 62%

Eliciting Problem Specifications via Large Language Models

Robert E. Wray, James R. Kirk, John E. Laird

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.CL

Comments 18 pages, Appendix. Revised in response to reviewer feedback. Accepted for Advances in Cognitive Systems (Jun 2024, Palermo)

2402.02456 2024-06-04 cs.LG cs.CL 62%

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou

专题命中工具调用：workflow(abstract)；分类 cs.CL、cs.LG

Comments Accepted by ICML2024, pre-printed version

2405.19888 2024-05-31 cs.LG cs.AI 62%

Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu

专题命中工具调用：AI agent(abstract)；分类 cs.AI、cs.LG

Comments To appear on USENIX OSDI 2024

2309.14236 2024-05-14 cs.RO cs.AI cs.CV cs.LG 62%

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments 10 pages, 8 figures

1. 工具调用 5118 篇

Solving Rubik's Cube Without Tricky Sampling

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning

Dependency Structure Search Bayesian Optimization for Decision Making Models

LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model

Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck

A Training Data Recipe to Accelerate A* Search with Language Models

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search

SimpleStrat: Diversifying Language Model Generation with Stratification

ConceptLens: from Pixels to Understanding

Unveiling the Invisible: Captioning Videos with Metaphors

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms

Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?

ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources

HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach

Guided Safe Shooting: model based reinforcement learning with safety constraints

QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval

Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting

Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning

LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

Improving GFlowNets with Monte Carlo Tree Search

Liberal Entity Matching as a Compound AI Toolchain

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness

Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling

Eliciting Problem Specifications via Large Language Models

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation