大模型推理能力

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making

Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu

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

Comments Published at Language Gamification Workshop 2024 @ NeurIPS

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios

Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu

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

Exploring Large Language Models for Climate Forecasting

Yang Wang, Hassan A. Karimi

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

Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction

Sonny George, Chris Sypherd, Dylan Cashman

专题命中 规划推理 ：chain-of-thought(abstract)；分类 cs.CL、cs.AI

Journal ref Findings Assoc. Comput. Linguistics: EMNLP 2024 15447-15459 (2024)

The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use

Siyuan Hu, Mingyu Ouyang, Difei Gao, Mike Zheng Shou

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

Comments 40 pages, 21 figures, preprint

GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees

Sichao Xiong, Yigit Ihlamur, Fuat Alican, Aaron Ontoyin Yin

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

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant

Yujia Zhou, Zheng Liu, Zhicheng Dou

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

Comments Accepted by NeurIPS 2024 (poster)

AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He

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

Comments Accepted at NeurIPS 2024

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review

Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht

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

DeepEdit: Knowledge Editing as Decoding with Constraints

Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang

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

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun

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

Explaining Mixtures of Sources in News Articles

Alexander Spangher, James Youn, Matt DeButts, Nanyun Peng, Emilio Ferrara, Jonathan May

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

Comments 9 pages

Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions

Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng Liu

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

Comments Accepted by ICKG 2024

Tool Learning with Large Language Models: A Survey

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

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

Comments The article has been accepted by Frontiers of Computer Science (FCS), with the DOI: {10.1007/s11704-024-40678-2}

Learning to Reason via Program Generation, Emulation, and Search

Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark

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

Comments NeurIPS 2024 camera ready

Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction

Yin Huang, Yongqi Dong, Youhua Tang, Li Li

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

Comments 8 pages, 4 figures, accepted by the 28th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2024)

A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets

Md Abrar Jahin, Md Sakib Hossain Shovon, M. F. Mridha, Md Rashedul Islam, Yutaka Watanobe

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

Journal ref Sci Rep 14, 24882 (2024)

Aligning Audio-Visual Joint Representations with an Agentic Workflow

Shentong Mo, Yibing Song

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

Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?

Gabriel Roccabruna, Massimo Rizzoli, Giuseppe Riccardi

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

Are Large-Language Models Graph Algorithmic Reasoners?

Alexander K Taylor, Anthony Cuturrufo, Vishal Yathish, Mingyu Derek Ma, Wei Wang

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

Comments 9 pages, 13 Figures

CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart

Bowen Zhao, Tianhao Cheng, Yuejie Zhang, Ying Cheng, Rui Feng, Xiaobo Zhang

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

Comments 10 pages, 6 figures

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models

Mirac Suzgun, Tayfun Gur, Federico Bianchi, Daniel E. Ho, Thomas Icard, Dan Jurafsky, James Zou

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

Comments https://github.com/suzgunmirac/belief-in-the-machine

LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model

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

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

Comments Accepted by COLM2024

One-shot World Models Using a Transformer Trained on a Synthetic Prior

Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter

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

Thinking Fast and Slow with Deep Learning and Tree Search

Thomas Anthony, Zheng Tian, David Barber

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

Comments v1 to v2: - Add a value function in MCTS - Some MCTS hyper-parameters changed - Repetition of experiments: improved accuracy and errors shown. (note the reduction in effect size for the tpt/cat experiment) - Results from a longer training run, including changes in expert strength in training - Comparison to MoHex. v3: clarify independence of ExIt and AG0. v4: see appendix E

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs

Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen

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

Comments EMNLP2024 Findings

Real-World Robot Applications of Foundation Models: A Review

Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng

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

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?

Kenza Benkirane, Jackie Kay, Maria Perez-Ortiz

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

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie

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

Comments Accepted by NeurIPS 2024

Transformers Utilization in Chart Understanding: A Review of Recent Advances & Future Trends

Mirna Al-Shetairy, Hanan Hindy, Dina Khattab, Mostafa M. Aref

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