CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge

30 July 2024

Papers citing "CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge"

6 / 6 papers shown

Title
KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs Elan Markowitz Krupa Galiya Greg Ver Steeg Aram Galstyan 23 0 0 09 Apr 2025
The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning T. Zheng Yixiang Chen Chengxi Li Chunyang Li Qing Zong Haochen Shi Baixuan Xu Y. Song Ginny Y. Wong Simon See LRM 39 0 0 07 Apr 2025
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty Qing Zong Z. Wang Tianshi Zheng Xiyu Ren Y. Song 54 1 0 31 Dec 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs Zihao W. Wang Hang Yin Yangqiu Song 24 29 0 18 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021