In Defense of Spatial Models of Lexical Semantics. - Michael N. Jones; Thomas M. Gruenenfelder; Gabriel Recchia (CogSci, 2011)

Adaptive Magnitude and Valence Biases in a Dynamic Memory Task. - George Kachergis; Gabriel Recchia; Richard M. Shiffrin (CogSci, 2011)

A Comparison of String Similarity Measures for Toponym Matching. - Gabriel Recchia; Max M. Louwerse (COMP@SIGSPATIAL, 2013)

Grounding the Ungrounded: Estimating Locations of Unknown Place Names from Linguistic Associations and Grounded Representations. - Gabriel Recchia; Max M. Louwerse (CogSci, 2014)

Predicting the Good Guy and the Bad Guy: Attitudes are Encoded in Language Statistics. - Gabriel Recchia; Alexandra Slater; Max M. Louwerse (CogSci, 2014)

Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation. - Gabriel Recchia; Magnus Sahlgren; Pentti Kanerva; Michael N. Jones (Comput. Intell. Neurosci., 2015)

Tracing Shifting Conceptual Vocabularies Through Time. - Gabriel Recchia; Ewan Jones; Paul Nulty; John Regan; Peter de Bolla (EKAW (Satellite Events), 2016)

Graph-Theoretic Properties of Networks Based on Word Association Norms: Implications for Models of Lexical Semantic Memory. - Thomas M. Gruenenfelder; Gabriel Recchia; Timothy N. Rubin; Michael N. Jones (Cogn. Sci., 2016)

Archaeology Through Computational Linguistics: Inscription Statistics Predict Excavation Sites of Indus Valley Artifacts. - Gabriel Recchia; Max M. Louwerse (Cogn. Sci., 2016)

Improving a Fundamental Measure of Lexical Association. - Gabriel Recchia; Paul Nulty (CogSci, 2017)

Teaching Autoregressive Language Models Complex Tasks By Demonstration. - Gabriel Recchia (CoRR, 2021)

Inverse Scaling: When Bigger Isn't Better. - Ian R. McKenzie; Alexander Lyzhov; Michael Pieler; Alicia Parrish; Aaron Mueller; Ameya Prabhu; Euan McLean; Aaron Kirtland; Alexis Ross; Alisa Liu; Andrew Gritsevskiy; Daniel Wurgaft; et al. (Trans. Mach. Learn. Res., 2023)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research. - Gabriel Recchia; Chatrik Singh Mangat; Issac Li; Gayatri Krishnakumar (CoRR, 2025)

Large Language Models Are More Persuasive Than Incentivized Human Persuaders. - Philipp Schoenegger; Francesco Salvi; Jiacheng Liu 010; Xiaoli Nan; Ramit Debnath; Barbara Fasolo; Evelina Leivada; Gabriel Recchia; Fritz Günther; Ali Zarifhonarvar; Joe Kwon; Zahoor Ul Islam; et al. (CoRR, 2025)

Confirmation bias: A challenge for scalable oversight. - Gabriel Recchia; Chatrik Singh Mangat; Jinu Nyachhyon; Mridul Sharma; Callum Canavan; Dylan Epstein-Gross; Muhammed Abdulbari (CoRR, 2025)