Experimental Detection of Embedded Implicatures. - Emmanuel Chemla; Benjamin Spector (Amsterdam Colloquium on Logic, Language and Meaning, 2009)

A Semantics for Degree Questions Based on Intervals: Negative Islands and Their Obviation. - Márta Abrusán; Benjamin Spector (J. Semant., 2011)

Experimental Evidence for Embedded Scalar Implicatures. - Emmanuel Chemla; Benjamin Spector (J. Semant., 2011)

Bare Numerals and Scalar Implicatures. - Benjamin Spector (Lang. Linguistics Compass, 2013)

A uniform semantics for embedded interrogatives: an answer, not necessarily the answer. - Benjamin Spector; Paul Égré (Synth., 2015)

Quantificational features in distributional word representations. - Tal Linzen; Emmanuel Dupoux; Benjamin Spector (*SEM@ACL, 2016)

The Design and Implementation of Modern Online Programming Competitions. - Benjamin Spector; Michael Truell (CoRR, 2017)

Characterizing logical consequence in many-valued logic. - Emmanuel Chemla; Paul Égré; Benjamin Spector (J. Log. Comput., 2017)

Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors. - Benjamin Spector; Serge J. Belongie (CoRR, 2018)

The Role of Prior Beliefs in The Rational Speech Act Model of Pragmatics: Exhaustivity as a Case Study. - Ethan Wilcox; Benjamin Spector (CogSci, 2019)

Preventing Adversarial Use of Datasets through Fair Core-Set Construction. - Benjamin Spector; Ravi Kumar 001; Andrew Tomkins (CoRR, 2019)

On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims. - Paul Égré; Benjamin Spector; Adèle Mortier; Steven Verheyen (CoRR, 2020)

Bounding the Last Mile: Efficient Learned String Indexing. - Benjamin Spector; Andreas Kipf; Kapil Vaidya; Chi Wang 001; Umar Farooq Minhas; Tim Kraska (CoRR, 2021)

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. - Daniel Y. Fu; Simran Arora; Jessica Grogan; Isys Johnson; Evan Sabri Eyuboglu; Armin W. Thomas; Benjamin Spector; Michael Poli; Atri Rudra; Christopher Ré (NeurIPS, 2023)

Accelerating LLM Inference with Staged Speculative Decoding. - Benjamin Spector; Christopher Ré (CoRR, 2023)

Exhaustivity and Anti-Exhaustivity in the RSA Framework: Testing the Effect of Prior Beliefs. - Alexandre Cremers; Ethan Gotlieb Wilcox; Benjamin Spector (Cogn. Sci., 2023)

Explaining vague language. - Paul Égré; Benjamin Spector (CoRR, 2024)

Just read twice: closing the recall gap for recurrent language models. - Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra; Christopher Ré (CoRR, 2024)

ThunderKittens: Simple, Fast, and Adorable AI Kernels. - Benjamin Spector; Simran Arora; Aaryan Singhal; Daniel Y. Fu; Christopher Ré (CoRR, 2024)

Scaling Laws for Precision. - Tanishq Kumar; Zachary Ankner; Benjamin Frederick Spector; Blake Bordelon; Niklas Muennighoff; Mansheej Paul; Cengiz Pehlevan; Christopher Ré; Aditi Raghunathan (ICLR, 2025)

ThunderKittens: Simple, Fast, and Adorable Kernels. - Benjamin Frederick Spector; Simran Arora; Aaryan Singhal; Arjun Parthasarathy; Daniel Y. Fu; Christopher Ré (ICLR, 2025)

LoLCATs: On Low-Rank Linearizing of Large Language Models. - Michael Zhang; Simran Arora; Rahul Chalamala; Benjamin Frederick Spector; Alan Wu; Krithik Ramesh; Aaryan Singhal; Christopher Ré (ICLR, 2025)