52 citations · 165 across the 14 of their papers we have counts for
19 papers
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation
Daniel Kang, Tatsunori Hashimoto, Ion Stoica +1
Over the past few years, AI methods of generating images have been increasing in capabilities, with recent breakthroughs enabling high-resolution, photorealistic "deepfakes" (artif…
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs
Daniel Kang, Tatsunori Hashimoto, Ion Stoica +1
As ML models have increased in capabilities and accuracy, so has the complexity of their deployments. Increasingly, ML model consumers are turning to service providers to serve the…
Spurious Correlations in Reference-Free Evaluation of Text Generation
Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto
Model-based, reference-free evaluation metrics have been proposed as a fast and cost-effective approach to evaluate Natural Language Generation (NLG) systems. Despite promising rec…
Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates
Daniel Kang, John Guibas, Peter Bailis +3
Given a dataset , we are interested in computing the mean of a subset of which matches a predicate. ABae leverages stratified sampling and proxy models t…
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
Dorottya Demszky, Jing Liu, Zid Mancenido +4
In conversation, uptake happens when a speaker builds on the contribution of their interlocutor by, for example, acknowledging, repeating or reformulating what they have said. In e…
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies
Tianyi Zhang, Tatsunori Hashimoto
We study how masking and predicting tokens in an unsupervised fashion can give rise to linguistic structures and downstream performance gains. Recent theories have suggested that p…