Evaluating LLMs with Multiple Problems at once

SuperGlue: Learning feature matching with graph neural networks

Original

Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich. 2020 · 1911

Earlier work this paper cites.

The serial position effect of free recall

Bennet B. Murdock. 1962 · 1962

Earlier work this paper cites.

Statistical Power Analysis for the Behavioral Sciences

J. Cohen. 1969 · 1969

Earlier work this paper cites.

Longformer: The long-document transformer

Original

Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004

Earlier work this paper cites.

AG’s corpus of news articles

Antonio Gulli. 2004 · 2004

Earlier work this paper cites.

Language models are few-shot learners

Original

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, and 12 others. 2020 · 2005

Earlier work this paper cites.

Automatically constructing a corpus of sentential paraphrases

William B. Dolan and Chris Brockett. 2005 · 2005

Earlier work this paper cites.

Recursive deep models for semantic compositionality over a sentiment treebank

Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013

Earlier work this paper cites.

Learning to solve arithmetic word problems with verb categorization

Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, and Nate Kushman. 2014 · 2014

Earlier work this paper cites.

A large annotated corpus for learning natural language inference

Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015

Earlier work this paper cites.

Parsing algebraic word problems into equations

Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, and Siena Dumas Ang. 2015 · 2015

Earlier work this paper cites.

Solving general arithmetic word problems

Subhro Roy and Dan Roth. 2015 · 2015

Earlier work this paper cites.

Deep reinforcement learning from human preferences

Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei. 2017 · 2017

Earlier work this paper cites.

Program induction by rationale generation: Learning to solve and explain algebraic word problems

Wang Ling, Dani Yogatama, Chris Dyer, and Phil Blunsom. 2017 · 2017

Earlier work this paper cites.

Transformer-XL: Attentive language models beyond a fixed-length context

Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, and Ruslan Salakhutdinov. 2019 · 2019

Earlier work this paper cites.

WiC: the word-in-context dataset for evaluating context-sensitive meaning representations

Mohammad Taher Pilehvar and Jose Camacho-Collados. 2019 · 2019

Earlier work this paper cites.

CommonsenseQA: A question answering challenge targeting commonsense knowledge

Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant. 2019 · 2019

Cited alongside, same era.

GLUE: A multi-task benchmark and analysis platform for natural language understanding

Original

Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 2019

Cited alongside, same era.

Neural network acceptability judgments

Alex Warstadt, Amanpreet Singh, and Samuel R. Bowman. 2019 · 2019

Cited alongside, same era.

Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, and Jonathan Berant. 2021 · 2021

Cited alongside, same era.

Scaling instruction-finetuned language models

Original

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, and 16 others. 2022 · 2022

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Original

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, and 432 others. 2023 · 2023

Later among the works it cites.

Chain-of-thought prompting elicits reasoning in large language models

Original

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023

Later among the works it cites.

Automatic chain of thought prompting in large language models

Zhuosheng Zhang, Aston Zhang, Mu Li, and Alex Smola. 2023 · 2023

Later among the works it cites.

Longlora: Efficient fine-tuning of long-context large language models

Original

Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, and Jiaya Jia. 2024 · 2024

Closest in time.