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2020 – today
- 2024
[i12]Paul Égré, Benjamin Spector:
Explaining vague language. CoRR abs/2404.18154 (2024)- [i11]Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré:
Just read twice: closing the recall gap for recurrent language models. CoRR abs/2407.05483 (2024) - [i10]Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré:
LoLCATs: On Low-Rank Linearizing of Large Language Models. CoRR abs/2410.10254 (2024) - [i9]Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré:
ThunderKittens: Simple, Fast, and Adorable AI Kernels. CoRR abs/2410.20399 (2024) - 2023
- [j6]Alexandre Cremers, Ethan Gotlieb Wilcox, Benjamin Spector:
Exhaustivity and Anti-Exhaustivity in the RSA Framework: Testing the Effect of Prior Beliefs. Cogn. Sci. 47(5) (2023) - [c4]Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré:
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS 2023 - [i8]Benjamin Spector, Christopher Ré:
Accelerating LLM Inference with Staged Speculative Decoding. CoRR abs/2308.04623 (2023) - [i7]Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré:
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR abs/2310.12109 (2023) - 2022
- [i6]Alexandre Cremers, Ethan Gotlieb Wilcox, Benjamin Spector:
Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs. CoRR abs/2202.07023 (2022) - 2021
- [i5]Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska:
Bounding the Last Mile: Efficient Learned String Indexing. CoRR abs/2111.14905 (2021) - 2020
- [i4]Paul Égré, Benjamin Spector, Adèle Mortier, Steven Verheyen:
On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims. CoRR abs/2008.11841 (2020)
2010 – 2019
- 2019
- [c3]Ethan Wilcox, Benjamin Spector:
The Role of Prior Beliefs in The Rational Speech Act Model of Pragmatics: Exhaustivity as a Case Study. CogSci 2019: 3099-3105 - [i3]Benjamin Spector, Ravi Kumar, Andrew Tomkins:
Preventing Adversarial Use of Datasets through Fair Core-Set Construction. CoRR abs/1910.10871 (2019) - 2018
- [i2]Benjamin Spector, Serge J. Belongie:
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors. CoRR abs/1801.02268 (2018) - 2017
- [j5]Emmanuel Chemla
, Paul Égré, Benjamin Spector:
Characterizing logical consequence in many-valued logic. J. Log. Comput. 27(7): 2193-2226 (2017) - [i1]Benjamin Spector, Michael Truell:
The Design and Implementation of Modern Online Programming Competitions. CoRR abs/1710.07738 (2017) - 2016
- [c2]Tal Linzen, Emmanuel Dupoux, Benjamin Spector:
Quantificational features in distributional word representations. *SEM@ACL 2016 - 2015
- [j4]Benjamin Spector, Paul Égré:
A uniform semantics for embedded interrogatives: an answer, not necessarily the answer. Synth. 192(6): 1729-1784 (2015) - 2013
- [j3]Benjamin Spector:
Bare Numerals and Scalar Implicatures. Lang. Linguistics Compass 7(5): 273-294 (2013) - 2011
- [j2]Márta Abrusán, Benjamin Spector:
A Semantics for Degree Questions Based on Intervals: Negative Islands and Their Obviation. J. Semant. 28(1): 107-147 (2011) - [j1]Emmanuel Chemla, Benjamin Spector:
Experimental Evidence for Embedded Scalar Implicatures. J. Semant. 28(3): 359-400 (2011)
2000 – 2009
- 2009
- [c1]Emmanuel Chemla, Benjamin Spector:
Experimental Detection of Embedded Implicatures. Amsterdam Colloquium on Logic, Language and Meaning 2009: 53-62
Coauthor Index
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