33 citations · 42 across the 15 of their papers we have counts for
16 papers
Textual Planning with Explicit Latent Transitions
Eliezer Shlomi, Ido Levy, Eilam Shapira +6
Planning requires a transition model that predicts how each action changes the current state. When a large language model (LLM) plays this role, every next state is generated token…
CRISP: Complex Reasoning with Interpretable Step-based Plans
Matan Vetzler, Koren Lazar, Guy Uziel +3
Recent advancements in large language models (LLMs) underscore the need for stronger reasoning capabilities to solve complex problems effectively. While Chain-of-Thought (CoT) reas…
OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models
Koren Lazar, Matan Vetzler, Kiran Kate +8
AI agents and business automation tools interacting with external web services require standardized, machine-readable information about their APIs in the form of API specifications…
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…
Effective Red-Teaming of Policy-Adherent Agents
Itay Nakash, George Kour, Koren Lazar +3
Task-oriented LLM-based agents are increasingly used in domains with strict policies, such as refund eligibility or cancellation rules. The challenge lies in ensuring that the agen…
Survey on Evaluation of LLM-based Agents
Asaf Yehudai, Lilach Eden, Alan Li +5
LLM-based agents represent a paradigm shift in AI, enabling autonomous systems to plan, reason, and use tools while interacting with dynamic environments. This paper provides the f…