大模型推理能力

SimLM: Can Language Models Infer Parameters of Physical Systems?

Sean Memery, Mirella Lapata, Kartic Subr

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D. Manning

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.LG

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments Accepted by the 12th International Conference on Learning Representations (ICLR 2024)

Formally Specifying the High-Level Behavior of LLM-Based Agents

Maxwell Crouse, Ibrahim Abdelaziz, Ramon Astudillo, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Luis Lastras

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Preprint under review

A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems

Sean Tucker

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 20 pages, 11 figures, 3 appendices

A Study on Training and Developing Large Language Models for Behavior Tree Generation

Fu Li, Xueying Wang, Bin Li, Yunlong Wu, Yanzhen Wang, Xiaodong Yi

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.LG

Comments NeurIPS 2023 (oral). Code: https://github.com/Ber666/ToolkenGPT

Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model

Shima Foolad, Kourosh Kiani

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.LG

Comments submitted for Multimedia Tools and Applications Journal

Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education

Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games

Ruoyao Wang, Peter Jansen

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2023 (Findings)

Methods to Estimate Large Language Model Confidence

Maia Kotelanski, Robert Gallo, Ashwin Nayak, Thomas Savage

专题命中 复杂问题求解 ：CoT(abstract)；分类 cs.CL、cs.AI

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving

Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

On the Performance of Multimodal Language Models

Utsav Garg, Erhan Bas

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering

Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted to the Findings of EMNLP 2023

Instructed Language Models with Retrievers Are Powerful Entity Linkers

Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2023 Main

A Closer Look at Reward Decomposition for High-Level Robotic Explanations

Wenhao Lu, Xufeng Zhao, Sven Magg, Martin Gromniak, Mengdi Li, Stefan Wermter

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI、cs.LG

Comments https://lukaswill.github.io

In-Context Ability Transfer for Question Decomposition in Complex QA

Venktesh V, Sourangshu Bhattacharya, Avishek Anand

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 10 pages

Large Language Models as General Pattern Machines

Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 21 pages, 25 figures. To appear at Conference on Robot Learning (CoRL) 2023

Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments

Jason Xinyu Liu, Ziyi Yang, Ifrah Idrees, Sam Liang, Benjamin Schornstein, Stefanie Tellex, Ankit Shah

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Conference on Robot Learning 2023

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?

Jaromir Savelka, Arav Agarwal, Christopher Bogart, Yifan Song, Majd Sakr

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 7 pages. arXiv admin note: text overlap with arXiv:2303.08033

Journal ref Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V.1 (ITiCSE 2023) 117-123

CITING: Large Language Models Create Curriculum for Instruction Tuning

Tao Feng, Zifeng Wang, Jimeng Sun

专题命中 复杂问题求解 ：self-correction(abstract)；分类 cs.CL、cs.AI

Textbooks Are All You Need II: phi-1.5 technical report

Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, Allie Del Giorno, Suriya Gunasekar, Yin Tat Lee

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions

Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

Benjamin J. Lengerich, Sebastian Bordt, Harsha Nori, Mark E. Nunnally, Yin Aphinyanaphongs, Manolis Kellis, Rich Caruana

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI、cs.LG

Local Large Language Models for Complex Structured Medical Tasks

V. K. Cody Bumgardner, Aaron Mullen, Sam Armstrong, Caylin Hickey, Jeff Talbert

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 12 pages, Preprint of an article submitted for consideration in Pacific Symposium on Biocomputing \c{opyright} 2024 copyright World Scientific Publishing Company https://www.worldscientific.com/

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

Hanyao Huang, Ou Zheng, Dongdong Wang, Jiayi Yin, Zijin Wang, Shengxuan Ding, Heng Yin, Chuan Xu, Renjie Yang, Qian Zheng, Bing Shi

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Journal ref Int J Oral Sci. 2023 Jul 28;15(1):29

A data science axiology: the nature, value, and risks of data science

Michael L. Brodie

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.AI、cs.LG

Using Large Language Models to Provide Explanatory Feedback to Human Tutors

Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments 12 pages Workshop paper, The 24th International Conference on Artificial Intelligence in Education, AIED 2023 Educational Dialogue Act Classification, Large Language Models, Named Entity Recognition, Tutor Training, Explanatory Feedback, Natural Language Processing

Sequential Query Encoding For Complex Query Answering on Knowledge Graphs

Jiaxin Bai, Tianshi Zheng, Yangqiu Song

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted by TMLR

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu

专题命中 复杂问题求解 ：reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted by KDD 2023 ADS track, the 2.0 version of JiuZhang (arxiv:2206.06315v1)