Position: Key Claims in LLM Research Have a Long Tail of Footnotes

14 August 2023

Papers citing "Position: Key Claims in LLM Research Have a Long Tail of Footnotes"

28 / 28 papers shown

Title
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction Eitan Wagner Omri Abend 29 0 0 04 May 2025
Investigating Task Arithmetic for Zero-Shot Information Retrieval Marco Braga Pranav Kasela Alessandro Raganato G. Pasi RALM 61 0 0 01 May 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead Viktor Schlegel Anil A Bharath Zilong Zhao Kevin Yee 66 0 0 26 Mar 2025
Have LLMs Made Active Learning Obsolete? Surveying the NLP Community Julia Romberg Christopher Schröder Julius Gonsior Katrin Tomanek Fredrik Olsson 64 0 0 12 Mar 2025
Local Differences, Global Lessons: Insights from Organisation Policies for International Legislation Lucie-Aimée Kaffee Pepa Atanasova Anna Rogers 39 0 0 19 Feb 2025
"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI Myra Cheng Alicia DeVrio Lisa Egede Su Lin Blodgett Alexandra Olteanu 21 5 0 11 Oct 2024
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions Qian Ruan Ilia Kuznetsov Iryna Gurevych 29 2 0 02 Oct 2024
A quest through interconnected datasets: lessons from highly-cited ICASSP papers Cynthia C. S. Liem Doğa Taşcılar Andrew M. Demetriou 17 0 0 19 Sep 2024
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product Neil Rohit Mallinar Daniel Beaglehole Libin Zhu Adityanarayanan Radhakrishnan Parthe Pandit Misha Belkin 43 7 0 29 Jul 2024
Training on the Test Task Confounds Evaluation and Emergence Ricardo Dominguez-Olmedo Florian E. Dorner Moritz Hardt ELM 63 7 1 10 Jul 2024
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices Jamil Zaghir Marco Naguib Mina Bjelogrlic Aurélie Névéol Xavier Tannier Christian Lovis AI4CE LM&MA 27 6 0 02 May 2024
OLMo: Accelerating the Science of Language Models Dirk Groeneveld Iz Beltagy Pete Walsh Akshita Bhagia Rodney Michael Kinney ... Jesse Dodge Kyle Lo Luca Soldaini Noah A. Smith Hanna Hajishirzi OSLM 132 355 0 01 Feb 2024
CroissantLLM: A Truly Bilingual French-English Language Model Manuel Faysse Patrick Fernandes Nuno M. Guerreiro António Loison Duarte M. Alves ... François Yvon André F.T. Martins Gautier Viaud C´eline Hudelot Pierre Colombo 43 32 0 01 Feb 2024
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research Mohamed Abdalla Jan Philip Wahle Terry Ruas Aurélie Névéol Fanny Ducel Saif M. Mohammad Karën Fort 75 27 0 04 May 2023
GPT-RE: In-context Learning for Relation Extraction using Large Language Models Michele Focchi Fei Cheng Zhuoyuan Mao Qianying Liu Haiyue Song Jiwei Li Sadao Kurohashi LRM 36 90 0 03 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 280 2,232 0 22 Mar 2023
Data Portraits: Recording Foundation Model Training Data Marc Marone Benjamin Van Durme 135 30 0 06 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 308 11,915 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 338 8,457 0 28 Jan 2022
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection Suchin Gururangan Dallas Card Sarah K. Drier E. K. Gade Leroy Z. Wang Zeyu Wang Luke Zettlemoyer Noah A. Smith 167 73 0 25 Jan 2022
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 93 101 0 04 Oct 2021
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers Yi Tay Mostafa Dehghani J. Rao W. Fedus Samira Abnar Hyung Won Chung Sharan Narang Dani Yogatama Ashish Vaswani Donald Metzler 198 110 0 22 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 277 1,120 0 18 Apr 2021
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 161 107 0 17 Apr 2021
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models Alex Tamkin Miles Brundage Jack Clark Deep Ganguli AILaw ELM 200 258 0 04 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020
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 226 4,460 0 23 Jan 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 230 31,253 0 16 Jan 2013