Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?

16 November 2023

Papers citing "Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?"

7 / 7 papers shown

Title
Are Transformers Truly Foundational for Robotics? James A. R. Marshall Andrew B. Barron AI4CE 71 0 0 25 Nov 2024
ToW: Thoughts of Words Improve Reasoning in Large Language Models Zhikun Xu Ming shen Jacob Dineen Zhaonan Li Xiao Ye Shijie Lu Aswin Rrv Chitta Baral Ben Zhou LRM 46 1 0 21 Oct 2024
MARS: A neurosymbolic approach for interpretable drug discovery L. Delong Yojana Gadiya Paola Galdi Jacques D. Fleuriot Daniel Domingo-Fernández 22 2 0 02 Oct 2024
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models Yu Feng Ben Zhou Weidong Lin Dan Roth 54 4 0 18 Apr 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Entity-Based Knowledge Conflicts in Question Answering Shayne Longpre Kartik Perisetla Anthony Chen Nikhil Ramesh Chris DuBois Sameer Singh HILM 235 236 0 10 Sep 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 245 671 0 06 Jan 2021