大模型推理能力

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs

Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments Code: https://github.com/westny/mtp-go

Diffused Task-Agnostic Milestone Planner

Mineui Hong, Minjae Kang, Songhwai Oh

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments 37th Conference on Neural Information Processing Systems

Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence

Chengchun Liu, Yuntian Chen, Fanyang Mo

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah

专题命中 规划推理 ：reasoning(abstract)；分类 cs.AI、cs.LG

Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?

Aniket Deroy, Subhankar Maity

专题命中 规划推理 ：reasoning(abstract)；分类 cs.CL、cs.AI

Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation

Xijia Zhang, Yue Guo, Simon Stepputtis, Katia Sycara, Joseph Campbell

专题命中 规划推理 ：reasoning(abstract)；分类 cs.AI、cs.LG

Exploring Large Language Models for Human Mobility Prediction under Public Events

Yuebing Liang, Yichao Liu, Xiaohan Wang, Zhan Zhao

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles

Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk, Henrik Ydreskog

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System

Haoyuan Li, Hao Jiang, Tianke Zhang, Zhelun Yu, Aoxiong Yin, Hao Cheng, Siming Fu, Yuhao Zhang, Wanggui He

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Utilizing Language Models for Tour Itinerary Recommendation

Ngai Lam Ho, Kwan Hui Lim

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.LG

Comments PMAI23 @IJCAI 2023 2nd International Workshop on Process Management in the AI era

Work State-Centric AI Agents: Design, Implementation, and Management of Cognitive Work Threads

Chen Zhang

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Student of Games: A unified learning algorithm for both perfect and imperfect information games

Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Josh Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, G. Zacharias Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling

专题命中 规划推理 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments Published in Science Advances

Journal ref Science Advances 9, eadg3256 (2023)

Evaluating Uncertainty Quantification approaches for Neural PDEs in scientific applications

Vardhan Dongre, Gurpreet Singh Hora

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 4 figures, 1 table, AI for Science Workshop Attention Track, neurips 2023

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments This paper has been accepted by NeurIPS 2023

Journal ref Thirty-seventh Conference on Neural Information Processing Systems(NeurIPS 2023)

FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM

Grace Colverd, Paul Darm, Leonard Silverberg, Noah Kasmanoff

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Comments Version is the one submitted to Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop @Neurips2023. All authors contributed equally to this work

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Comments camera-ready version

Multi-dimensional data refining strategy for effective fine-tuning LLMs

Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, Zhaoxiang Zhang

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Comments Accepted to NeurIPS 2023

The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes

Eoin M. Kenny, Weipeng Huang

专题命中 规划推理 ：reasoning(abstract)；分类 cs.AI、cs.LG

What's Next in Affective Modeling? Large Language Models

Nutchanon Yongsatianchot, Tobias Thejll-Madsen, Stacy Marsella

专题命中 规划推理 ：reasoning(abstract)；分类 cs.CL、cs.AI

Journal ref 11th International Conference on Affective Computing and Intelligent Interaction Workshop and Demo (ACIIW) 2023 1-7

Thinker: Learning to Plan and Act

Stephen Chung, Ivan Anokhin, David Krueger

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments 38 pages

Creative Robot Tool Use with Large Language Models

Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments 19 pages, 14 figures, 2 tables

Evaluating Superhuman Models with Consistency Checks

Lukas Fluri, Daniel Paleka, Florian Tramèr

专题命中 规划推理 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments 42 pages, 18 figures. Code and data are available at https://github.com/ethz-spylab/superhuman-ai-consistency

Getting pwn'd by AI: Penetration Testing with Large Language Models

Andreas Happe, Jürgen Cito

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Optimizing Memory Mapping Using Deep Reinforcement Learning

Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi, Phitchaya Mangpo Phothilimthana, Manish Purohit, Han Yang Tay, Ngân Vũ, Miaosen Wang, Cosmin Paduraru, Edouard Leurent, Anton Zhernov, Po-Sen Huang, Julian Schrittwieser, Thomas Hubert, Robert Tung, Paula Kurylowicz, Kieran Milan, Oriol Vinyals, Daniel J. Mankowitz

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning

Pengqin Wang, Meixin Zhu, Shaojie Shen

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments ICRA2024

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue

Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong

专题命中 规划推理 ：planning(abstract)；分类 cs.CL、cs.AI

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li

专题命中 规划推理 ：planning(abstract)；分类 cs.AI、cs.LG

Comments Accepted by NeurIPS 2023. 22 pages

Automated Paper Screening for Clinical Reviews Using Large Language Models

Eddie Guo, Mehul Gupta, Jiawen Deng, Ye-Jean Park, Mike Paget, Christopher Naugler

专题命中 规划推理 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 15 pages, 2 figures, 4 tables

Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs

Satvik Garg, Shivam Parikh, Somya Garg

专题命中 规划推理 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments IEEE AIKE 2023, 8 Pages