Zobrazeno 1 - 10
of 35 290
pro vyhledávání: '"A, Zamani"'
Autor:
Salemi, Alireza, Zamani, Hamed
This paper investigates the design of a unified search engine to serve multiple retrieval-augmented generation (RAG) agents, each with a distinct task, backbone large language model (LLM), and retrieval-augmentation strategy. We introduce an iterativ
Externí odkaz:
http://arxiv.org/abs/2410.09942
Autor:
Zamani, Amirreza, Skoglund, Mikael
This paper provides an overview of a problem in information-theoretic privacy mechanism design, addressing two scenarios in which private data is either observable or hidden. In each scenario, different privacy measures are used, including bounded mu
Externí odkaz:
http://arxiv.org/abs/2410.05033
Integrated sensing and communications (ISAC) is a promising component of 6G networks, fusing communication and radar technologies to facilitate new services. Additionally, the use of extremely large-scale antenna arrays (ELLA) at the ISAC common rece
Externí odkaz:
http://arxiv.org/abs/2410.04930
Autor:
Atmakuru, Anirudh, Nainani, Jatin, Bheemreddy, Rohith Siddhartha Reddy, Lakkaraju, Anirudh, Yao, Zonghai, Zamani, Hamed, Chang, Haw-Shiuan
Evaluating the creativity of large language models (LLMs) in story writing is difficult because LLM-generated stories could seemingly look creative but be very similar to some existing stories in their huge and proprietary training corpus. To overcom
Externí odkaz:
http://arxiv.org/abs/2410.04197
Autor:
Zamani, Amirreza, Skoglund, Mikael
A statistical cache-aided compression problem with a privacy constraint is studied, where a server has access to a database of $N$ files, $(Y_1,...,Y_N)$, each of size $F$ bits and is linked through a shared channel to $K$ users, where each has acces
Externí odkaz:
http://arxiv.org/abs/2409.20133
Autor:
Salemi, Alireza, Zamani, Hamed
Privacy-preserving methods for personalizing large language models (LLMs) are relatively under-explored. There are two schools of thought on this topic: (1) generating personalized outputs by personalizing the input prompt through retrieval augmentat
Externí odkaz:
http://arxiv.org/abs/2409.09510
The equation of motion is the important equation for obtain the extra force and Raychaudhuri equation. By considering an explicitly coupling between an arbitrary function of the scalar Gauss-Bonnet, G and the Lagrangian density of matter, it is shown
Externí odkaz:
http://arxiv.org/abs/2408.15606
In this article, we study the fundamental limits in the design of fair and/or private representations achieving perfect demographic parity and/or perfect privacy through the lens of information theory. More precisely, given some useful data $X$ that
Externí odkaz:
http://arxiv.org/abs/2408.13168
Data-driven Construction of Finite Abstractions for Interconnected Systems: A Compositional Approach
Autor:
Ajeleye, Daniel, Zamani, Majid
Finite-state abstractions (a.k.a. symbolic models) present a promising avenue for the formal verification and synthesis of controllers in continuous-space control systems. These abstractions provide simplified models that capture the fundamental beha
Externí odkaz:
http://arxiv.org/abs/2408.08497
Diagnosability is a system theoretical property characterizing whether fault occurrences in a system can always be detected within a finite time. In this paper, we investigate the verification of diagnosability for cyber-physical systems with continu
Externí odkaz:
http://arxiv.org/abs/2408.06982