AI Agent

Solving Sequential Manipulation Puzzles by Finding Easier Subproblems

Svetlana Levit, Joaquim Ortiz-Haro, Marc Toussaint

专题命中 工具调用 ：agent(abstract)；planning(abstract)

Comments Accepted to ICRA 2024

Towards Practical Tool Usage for Continually Learning LLMs

Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

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

Comments 20 pages, 11 tables, 7 figures

Real-Time Distributed Infrastructure-free Searching and Target Tracking via Virtual Pheromones

Joseph Prince Mathew, Cameron Nowzari

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)

Comments 25 pages, 17 Figures

Towards a Zero-Data, Controllable, Adaptive Dialog System

Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu

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

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji

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

Comments ICLR 2024. Code is available on our project website: https://xingyaoww.github.io/mint-bench

Concurrent Active Learning in Autonomous Airborne Source Search: Dual Control for Exploration and Exploitation

Zhongguo Li, Wen-Hua Chen, Jun Yang

专题命中 工具调用 ：agent(abstract)；planning(abstract)

Journal ref IEEE Transactions on Automatic Control, 2023

Large Language Models as Tool Makers

Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou

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

Comments Code available at https://github.com/ctlllll/LLM-ToolMaker

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su

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

Comments Code and data available at https://github.com/microsoft/simulated-trial-and-error

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Xidong Feng, Ziyu Wan, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang

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

LLM-Enhanced Data Management

Xuanhe Zhou, Xinyang Zhao, Guoliang Li

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

Backpropagation Through Agents

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)

dIR -- Discrete Information Retrieval: Conversational Search over Unstructured (and Structured) Data with Large Language Models

Pablo M. Rodriguez Bertorello, Jean Rodmond Junior Laguerre

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

Comments 8 pages, 5 figures, Association for Computational Linguistics

Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives

Muhammad Kazim, JunGee Hong, Min-Gyeom Kim, Kwang-Ki K. Kim

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)

Comments 16 pages, 9 figures

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li

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

Comments 25 pages, 25M file size. Project Page: https://llava-vl.github.io/llava-plus/

PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability

Albert H. Li, Preston Culbertson, Aaron D. Ames

专题命中 工具调用 ：tool use(abstract)；planning(abstract)

Comments Under review at ICRA 2024

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications

Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch

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

Comments In submission to NLP-OSS

A Search-Based Testing Approach for Deep Reinforcement Learning Agents

Amirhossein Zolfagharian, Manel Abdellatif, Lionel Briand, Mojtaba Bagherzadeh, Ramesh S

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

Journal ref in IEEE Transactions on Software Engineering, vol. 49, no. 7, pp. 3715-3735, July 2023

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister

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

PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration

Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S. Chirikjian

专题命中 工具调用 ：tool use(abstract)；planning(abstract)

Comments 17 pages, 19 figures

Attacking Fake News Detectors via Manipulating News Social Engagement

Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)

Comments ACM Web Conference 2023 (WWW'23)

Affective social anthropomorphic intelligent system

Md. Adyelullahil Mamun, Hasnat Md. Abdullah, Md. Golam Rabiul Alam, Muhammad Mehedi Hassan, Md. Zia Uddin

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

Comments Multimedia Tools and Applications (2023)

Artificial Influence: An Analysis Of AI-Driven Persuasion

Matthew Burtell, Thomas Woodside

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

Comments 8 pages

Pp OPF -- Pandapower Implementation of Three-phase Optimal Power Flow Model

Tomislav Antić, Andrew Keane, Tomislav Capuder

专题命中 工具调用 ：tool use(abstract)；planning(abstract)

Graph Searching with Predictions

Siddhartha Banerjee, Vincent Cohen-Addad, Anupam Gupta, Zhouzi Li

专题命中 工具调用 ：agent(abstract)；planning(abstract)

Boosting Search Engines with Interactive Agents

Leonard Adolphs, Benjamin Boerschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain Saralegui

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

Comments Published in Transactions on Machine Learning Research (06/2022)

Distributed coordination for seeking the optimal Nash equilibrium of aggregative games

Xiaoyu Ma, Jinlong Lei, Peng Yi, Jie Chen

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)

Comments 7 pages, 3 figures

Search-Based Testing of Reinforcement Learning

Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig, Bettina Könighofer

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

Comments 11 pages, 15 figures, Accepted at IJCAI-ECAI 2022 (Main Track)

A consensus-based algorithm for multi-objective optimization and its mean-field description

Giacomo Borghi, Michael Herty, Lorenzo Pareschi

专题命中 工具调用 ：agent(abstract)；multi-agent(abstract)

A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems

Dmytro Humeniuk, Foutse Khomh, Giuliano Antoniol

专题命中 工具调用 ：agent(abstract)；autonomous agent(abstract)

Multi-step dual control for exploration and exploitation in autonomous search with convergence guarantee

Yuan Tan, Jun Yang, Wen-Hua Chen, Shihua Li

专题命中 工具调用 ：agent(abstract)；planning(abstract)

Comments 4 figures