BigBench V2: The New and Improved BigBench

By A. Ghazal, Todor Ivanov, Pekka Kostamaa, A. Crolotte, R. Voong, Mohammed Al-Kateb, W. Ghazal, R. Zicari. 2017

36 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Evaluation & Benchmarks, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Murray Shanahan
2. Antonia Creswell
3. Emre Kıcıman

In Management Science and Operations Research

1. Murray Shanahan
2. Emre Kıcıman
3. Irina Higgins
4. Chenhao Tan

In Evaluation & Benchmarks

1. Murray Shanahan
2. Antonia Creswell
3. Irina Higgins
4. Chenhao Tan

In Signal Processing

1. Murray Shanahan
2. Emre Kıcıman
3. Irina Higgins
4. Chenhao Tan

Citations in the corpus

• Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning (2022, methodology): “The additional tasks were collected from six sources: bAbI (Weston et al., 2015), BigBench (Ghazal et al., 2017), AAC (Betz et al., 2020), Jeopardy (Tunguz, 2019), Proof Writer (Tafjord et al., 2020) and 2WikiMultiHop (Welbl et al., 2018) (see Fig.”
• Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (2023, methodology): “Now, LLMs may have the capability to automate or assist with every step of this process and seamlessly transition bteween covariance-and logic-based causality. soning (Bubeck et al., 2023; Zhong et al., 2023; Ghazal et al., 2017).”