32 citations · 34 across the 9 of their papers we have counts for
9 papers
Near-Miss: Latent Policy Failure Detection in Agentic Workflows
Ella Rabinovich, David Boaz, Naama Zwerdling +1
Agentic systems for business process automation often require compliance with policies governing conditional updates to the system state. Evaluation of policy adherence in LLM-base…
Towards Enforcing Company Policy Adherence in Agentic Workflows
Naama Zwerdling, David Boaz, Ella Rabinovich +3
Large Language Model (LLM) agents hold promise for a flexible and scalable alternative to traditional business process automation, but struggle to reliably follow complex company p…
Exploring Straightforward Conversational Red-Teaming
George Kour, Naama Zwerdling, Marcel Zalmanovici +3
Large language models (LLMs) are increasingly used in business dialogue systems but they pose security and ethical risks. Multi-turn conversations, where context influences the mod…
From Zero to Hero: Cold-Start Anomaly Detection
Tal Reiss, George Kour, Naama Zwerdling +2
When first deploying an anomaly detection system, e.g., to detect out-of-scope queries in chatbots, there are no observed data, making data-driven approaches ineffective. Zero-shot…
Unveiling Safety Vulnerabilities of Large Language Models
George Kour, Marcel Zalmanovici, Naama Zwerdling +5
As large language models become more prevalent, their possible harmful or inappropriate responses are a cause for concern. This paper introduces a unique dataset containing adversa…
Understanding the Properties of Generated Corpora
Naama Zwerdling, Segev Shlomov, Esther Goldbraich +6
Models for text generation have become focal for many research tasks and especially for the generation of sentence corpora. However, understanding the properties of an automaticall…
High-quality Conversational Systems
Samuel Ackerman, Ateret Anaby-Tavor, Eitan Farchi +7
Conversational systems or chatbots are an example of AI-Infused Applications (AIIA). Chatbots are especially important as they are often the first interaction of clients with a bus…
Answer Identification in Collaborative Organizational Group Chat
Naama Tepper, Naama Zwerdling, David Naori +1
We present a simple unsupervised approach for answer identification in organizational group chat. In recent years, organizational group chat is on the rise enabling asynchronous te…
Not Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich +5
Based on recent advances in natural language modeling and those in text generation capabilities, we propose a novel data augmentation method for text classification tasks. We use a…