大模型推理能力

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

Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation

Zihang Wang, Maowei Jiang

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

Comments 10 pages. arXiv admin note: text overlap with arXiv:2007.05929 by other authors

Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?

Thilini Wijesiriwardene, Amit Sheth, Valerie L. Shalin, Amitava Das

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

Comments 12 pages 3 figures

Automated scholarly paper review: Concepts, technologies, and challenges

Jialiang Lin, Jiaxin Song, Zhangping Zhou, Yidong Chen, Xiaodong Shi

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

Comments Please cite the version of Information Fusion

Journal ref Information Fusion, Vol. 98, 101830 (2023)

Emergence of Symbols in Neural Networks for Semantic Understanding and Communication

Yang Chen, Liangxuan Guo, Shan Yu

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

From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought

Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum

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

Language to Rewards for Robotic Skill Synthesis

Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia

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

Comments https://language-to-reward.github.io/

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence

John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai

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

Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity

Zijian Ding, Arvind Srinivasan, Stephen MacNeil, Joel Chan

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

Concept-aware Training Improves In-context Learning Ability of Language Models

Michal Štefánik, Marek Kadlčík

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

Comments Work in progress

Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

Sadaf Ghaffari, Nikhil Krishnaswamy

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

Comments Accepted at IWCS Conference

Knowledge Authoring for Rules and Actions

Yuheng Wang, Paul Fodor, Michael Kifer

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

Scallop: A Language for Neurosymbolic Programming

Ziyang Li, Jiani Huang, Mayur Naik

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

Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence

Leopoldo Bertossi

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

Comments Submitted as chapter contribution. In this version some additional comments were added, and some wrong equation references corrected

Scientific and Creative Analogies in Pretrained Language Models

Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova

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

Comments To be published in Findings of EMNLP 2022

DANLI: Deliberative Agent for Following Natural Language Instructions

Yichi Zhang, Jianing Yang, Jiayi Pan, Shane Storks, Nikhil Devraj, Ziqiao Ma, Keunwoo Peter Yu, Yuwei Bao, Joyce Chai

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

Comments Accepted in EMNLP 2022

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples

Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Joty, Luo Si

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

Comments Accepted by EMNLP 2022

A Direct Approximation of AIXI Using Logical State Abstractions

Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng

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

Abstraction for Deep Reinforcement Learning

Murray Shanahan, Melanie Mitchell

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

Comments To appear in Proceedings IJCAI 2022

ExAIS: Executable AI Semantics

Richard Schumi, Jun Sun

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

Persistent Anti-Muslim Bias in Large Language Models

Abubakar Abid, Maheen Farooqi, James Zou

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

Neurosymbolic AI: The 3rd Wave

Artur d'Avila Garcez, Luis C. Lamb

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

Comments 37 pages

Towards Analogy-Based Explanations in Machine Learning

Eyke Hüllermeier

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

Comments 11 pages, 4 figures

History-Aware Question Answering in a Blocks World Dialogue System

Benjamin Kane, Georgiy Platonov, Lenhart K. Schubert

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

Comments 16 pages, 4 figures