LLMs for Relational Reasoning: How Far are We?

17 January 2024

Papers citing "LLMs for Relational Reasoning: How Far are We?"

9 / 9 papers shown

Title
Training Small Reasoning LLMs with Cognitive Preference Alignment Wenrui Cai Chengyu Wang Junbing Yan Jun Huang Xiangzhong Fang LRM 26 1 0 14 Apr 2025
Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning Wenjie Wu Yongcheng Jing Yingjie Wang Wenbin Hu Dacheng Tao RALM LRM 66 2 0 03 Mar 2025
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models Yi Wu Z. Xiong Yiran Hu Shreyash S. Iyengar Nan Jiang Aniket Bera Lin Tan Suresh Jagannathan LM&Ro LLMAG 84 4 0 17 Feb 2025
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning Qingyu Yin Xuzheng He Luoao Deng Chak Tou Leong Fan Wang Yanzhao Yan Xiaoyu Shen Qiang Zhang 37 2 0 07 Oct 2024
Easy Problems That LLMs Get Wrong Sean Williams James Huckle LRM 24 10 0 30 May 2024
Can Large Language Models put 2 and 2 together? Probing for Entailed Arithmetical Relationships D. Panas S. Seth V. Belle ReLM LRM 33 2 0 30 Apr 2024
Can Language Models Pretend Solvers? Logic Code Simulation with LLMs Minyu Chen Guoqiang Li Ling-I Wu Ruibang Liu Yuxin Su Xi Chang Jianxin Xue LLMAG ELM LRM 34 0 0 24 Mar 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 310 4,097 0 24 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021