Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability

16 December 2021

Papers citing "Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability"

8 / 8 papers shown

Title
Progressive-Hint Prompting Improves Reasoning in Large Language Models Chuanyang Zheng Zhengying Liu Enze Xie Zhenguo Li Yu Li LLMAG ReLM LRM 38 103 0 19 Apr 2023
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 49 51 0 26 Mar 2023
Can Transformers Reason in Fragments of Natural Language? Viktor Schlegel Kamen V. Pavlov Ian Pratt-Hartmann LRM ReLM 30 7 0 10 Nov 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 162 414 0 03 Oct 2022
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking Ronen Tamari Kyle Richardson Aviad Sar-Shalom Noam Kahlon Nelson F. Liu Reut Tsarfaty Dafna Shahaf 40 5 0 30 Nov 2021
ReaSCAN: Compositional Reasoning in Language Grounding Zhengxuan Wu Elisa Kreiss Desmond C. Ong Christopher Potts CoGe LRM 29 22 0 18 Sep 2021
Sensitivity as a Complexity Measure for Sequence Classification Tasks Michael Hahn Dan Jurafsky Richard Futrell 150 22 0 21 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018