activity
20162025
most cited#HashtagWars: Learning a Sense of Humor

6 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2025★ 1 cited

ZKLoRA: Efficient Zero-Knowledge Proofs for LoRA Verification

Bidhan Roy, Peter Potash, Marcos Villagra

Low-Rank Adaptation (LoRA) is a widely adopted method for customizing large-scale language models. In distributed, untrusted training environments, an open source base model user m…

cs.CY2020★ 1 cited

Operationalizing the Legal Principle of Data Minimization for Personalization

Asia J. Biega, Peter Potash, Hal Daumé +2

Article 5(1)(c) of the European Union's General Data Protection Regulation (GDPR) requires that "personal data shall be [...] adequate, relevant, and limited to what is necessary i…

cs.CL2019★ 1 cited

Playing log(N)-Questions over Sentences

Peter Potash, Kaheer Suleman

We propose a two-agent game wherein a questioner must be able to conjure discerning questions between sentences, incorporate responses from an answerer, and keep track of a hypothe…

cs.CL2019

The Effect of Downstream Classification Tasks for Evaluating Sentence Embeddings

Peter Potash

One popular method for quantitatively evaluating the utility of sentence embeddings involves using them in downstream language processing tasks that require sentence representation…

cs.CL2016★ 1 cited

Evaluating Creative Language Generation: The Case of Rap Lyric Ghostwriting

Peter Potash, Alexey Romanov, Anna Rumshisky

Language generation tasks that seek to mimic human ability to use language creatively are difficult to evaluate, since one must consider creativity, style, and other non-trivial as…

cs.CL2016

Here's My Point: Joint Pointer Architecture for Argument Mining

Peter Potash, Alexey Romanov, Anna Rumshisky

One of the major goals in automated argumentation mining is to uncover the argument structure present in argumentative text. In order to determine this structure, one must understa…