Noisy Exemplars Make Large Language Models More Robust: A
Domain-Agnostic Behavioral Analysis

Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis

1 November 2023

Abulhair Saparov

Papers citing "Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis"

9 / 9 papers shown

Title
Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors Kohei Tsuji Tatsuya Hiraoka Yuchang Cheng Eiji Aramaki Tomoya Iwakura 79 0 0 27 Feb 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 57 1 0 03 Jan 2025
A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding Abdulfattah Safa Gözde Gül Şahin 51 1 0 24 Sep 2024
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents Ke Yang Jiateng Liu John Wu Chaoqi Yang Yi Ren Fung ... Xu Cao Xingyao Wang Yiquan Wang Heng Ji Chengxiang Zhai LLMAG ELM 26 75 0 01 Jan 2024
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought Abulhair Saparov He He ELM LRM ReLM 121 275 0 03 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022
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 314 3,248 0 21 Mar 2022
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 250 677 0 06 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020