2 citations · 5 across the 13 of their papers we have counts for
14 papers
How to Verify Probabilistic Consistency of Predictive Models
Orr Paradise, Oliver Richardson, Yoshua Bengio +1
When a probabilistic predictor answers many conditional-probability queries, are its answers self-consistent, and can this be verified in polynomial time? This problem is of intere…
Investigating the Development of Task-Oriented Communication in Vision-Language Models
Boaz Carmeli, Orr Paradise, Shafi Goldwasser +2
We investigate whether \emph{LLM-based agents} can develop task-oriented communication protocols that differ from standard natural language in collaborative reasoning tasks. Our fo…
WhAM: Towards A Translative Model of Sperm Whale Vocalization
Orr Paradise, Pranav Muralikrishnan, Liangyuan Chen +6
Sperm whales communicate in short sequences of clicks known as codas. We present WhAM (Whale Acoustics Model), the first transformer-based model capable of generating synthetic spe…
On Non-interactive Evaluation of Animal Communication Translators
Orr Paradise, David F. Gruber, Adam Tauman Kalai
If you had an AI Whale-to-English translator, how could you validate whether or not it is working? Does one need to interact with the animals or rely on grounded observations such…
Unsupervised Translation of Emergent Communication
Ido Levy, Orr Paradise, Boaz Carmeli +3
Emergent Communication (EC) provides a unique window into the language systems that emerge autonomously when agents are trained to jointly achieve shared goals. However, it is diff…
Learning Randomized Reductions
Ferhat Erata, Orr Paradise, Thanos Typaldos +4
Randomized self-reductions (RSRs) express using evaluated at random correlated points, enabling self-correcting programs, instance-hiding protocols, and applications in…
Semantics and Spatiality of Emergent Communication
Rotem Ben Zion, Boaz Carmeli, Orr Paradise +1
When artificial agents are jointly trained to perform collaborative tasks using a communication channel, they develop opaque goal-oriented communication protocols. Good task perfor…
On the Communication Complexity of Secure Multi-Party Computation With Aborts
James Bartusek, Thiago Bergamaschi, Seri Khoury +2
A central goal of cryptography is Secure Multi-party Computation (MPC), where parties desire to compute a function of their joint inputs without letting any party learn about t…
Models That Prove Their Own Correctness
Noga Amit, Shafi Goldwasser, Orr Paradise +1
How can we trust the correctness of a learned model on a particular input of interest? Model accuracy is typically measured on average over a distribution of inputs, giving no guar…
A High School Camp on Algorithms and Coding in Jamaica
Daniel T. Fokum, Zaria Chen Shui, Kerene Wright +3
This is a report on JamCoders, a four-week long computer-science camp for high school students in Jamaica. The camp teaches college-level coding and algorithms, and targets academi…
Pseudointelligence: A Unifying Framework for Language Model Evaluation
Shikhar Murty, Orr Paradise, Pratyusha Sharma
With large language models surpassing human performance on an increasing number of benchmarks, we must take a principled approach for targeted evaluation of model capabilities. Ins…
UniMASK: Unified Inference in Sequential Decision Problems
Micah Carroll, Orr Paradise, Jessy Lin +8
Randomly masking and predicting word tokens has been a successful approach in pre-training language models for a variety of downstream tasks. In this work, we observe that the same…
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
Shafi Goldwasser, David F. Gruber, Adam Tauman Kalai +1
Neural networks are capable of translating between languages -- in some cases even between two languages where there is little or no access to parallel translations, in what is kno…
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
Micah Carroll, Jessy Lin, Orr Paradise +8
Randomly masking and predicting word tokens has been a successful approach in pre-training language models for a variety of downstream tasks. In this work, we observe that the same…