大模型推理能力

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

Xiao Peng, Xufan Geng

专题命中 逻辑推理 ：reasoning(abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 6 figures

Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?

Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2024

ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering

Priyesh Vakharia, Abigail Kufeldt, Max Meyers, Ian Lane, Leilani Gilpin

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted at NeSy 2024

Journal ref Springer, Lecture Notes on Computer Science (LNAI,volume 14980), 2024

NSP: A Neuro-Symbolic Natural Language Navigational Planner

William English, Dominic Simon, Sumit Jha, Rickard Ewetz

专题命中 逻辑推理 ：reasoning(abstract)；planning(abstract)；分类 cs.CL、cs.AI

Comments 10 pages, Preprint of paper accepted at 23rd International Conference on Machine Learning and Applications (ICMLA) 2024

Auxiliary task demands mask the capabilities of smaller language models

Jennifer Hu, Michael C. Frank

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Published at the 1st Conference on Language Modeling (COLM 2024)

Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models

Xiang Shi, Jiawei Liu, Yinpeng Liu, Qikai Cheng, Wei Lu

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments 28 pages, 11 figures, under review

Analyzing Large language models chatbots: An experimental approach using a probability test

Melise Peruchini, Julio Monteiro Teixeira

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments 17 pages, 3 figures, Submitted to ACM Transactions on Intelligent systems and Technology

FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts

Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.LG

Comments Accepted in ACL 2024 (Findings), 21 pages, 7 figures, 9 Tables

Concept-aware Data Construction Improves In-context Learning of Language Models

Michal Štefánik, Marek Kadlčík, Petr Sojka

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Long paper to appear in Findings of ACL 2024

Large Knowledge Model: Perspectives and Challenges

Huajun Chen

专题命中 逻辑推理 ：reasoning(abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Comments Data Intelligence, Published: Jun 18, 2024

Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science Exam

Nabor C. Mendonça

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted for publication

Journal ref ACM Transactions on Computing Education, June 2024

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments International Conference on Machine Learning (ICML) 2024; an extension to EmotionPrompt (arXiv:2307.11760)

Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Xindi Wang, Mahsa Salmani, Parsa Omidi, Xiangyu Ren, Mehdi Rezagholizadeh, Armaghan Eshaghi

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.LG

Comments Accepted to IJCAI 2024 Survey Track -- camera-ready version

Do Large Language Models Solve ARC Visual Analogies Like People Do?

Gustaw Opiełka, Hannes Rosenbusch, Veerle Vijverberg, Claire E. Stevenson

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Changes (based on CogSci 2024 reviewers): - Shortened Intro - Added a table summarizing children performance across age - Added Theoretical discussion in the Discussion section - Corrected the naming of plots - Small clarifications in the Methods section

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji

专题命中 逻辑推理 ：reasoning(abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments Accepted as a main conference paper at NAACL 2024

Metacognitive Prompting Improves Understanding in Large Language Models

Yuqing Wang, Yun Zhao

专题命中 逻辑推理 ：reasoning(abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments NAACL 2024

Towards Generalist Prompting for Large Language Models by Mental Models

Haoxiang Guan, Jiyan He, Shuxin Zheng, En-Hong Chen, Weiming Zhang, Nenghai Yu

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Do Large Language Models Understand Logic or Just Mimick Context?

Junbing Yan, Chengyu Wang, Jun Huang, Wei Zhang

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Symbol Correctness in Deep Neural Networks Containing Symbolic Layers

Aaron Bembenek, Toby Murray

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.AI、cs.LG

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs

Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton

专题命中 逻辑推理 ：reasoning(abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments The 17th ACM International Conference on Web Search and Data Mining (WSDM 2024)

Analogical proportions

Christian Antić

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.AI、cs.LG

Assessing SATNet's Ability to Solve the Symbol Grounding Problem

Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.AI、cs.LG

Language Models can be Logical Solvers

Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Preprint

Rule Learning as Machine Translation using the Atomic Knowledge Bank

Kristoffer Æsøy, Ana Ozaki

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis

Hongyi Zheng, Abulhair Saparov

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.LG

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.AI、cs.LG

Comments Published at NeurIPS 2023. Camera-ready version

A Survey of Knowledge Enhanced Pre-trained Models

Jian Yang, Xinyu Hu, Gang Xiao, Yulong Shen

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments 32 pages, 15 figures

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2023 (Findings)

The potential of large language models for improving probability learning: A study on ChatGPT3.5 and first-year computer engineering students

Angel Udias, Antonio Alonso-Ayuso, Ignacio Sanchez, Sonia Hernandez, Maria Eugenia Castellanos, Raquel Montes Diez, Emilio Lopez Cano

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 6 figures, 4 tables

Learning Reliable Logical Rules with SATNet

Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si

专题命中 逻辑推理 ：reasoning(abstract)；logical reasoning(abstract)；分类 cs.AI、cs.LG