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20232026
most citedAssessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks

2 citations · 8 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Repairing LLM-Generated Specifications with Deterministic Diagnosis

Giovanni Vaccarino, Emanuele La Malfa, Dehai Min +6

Large language models (LLMs) are increasingly used as formalizers: given a reasoning problem expressed in natural language, they produce a formal specification that a symbolic solv…

cs.AI2026

Benchmarking at the Edge of Comprehension

Samuele Marro, Jialin Yu, Emanuele La Malfa +8

As frontier Large Language Models (LLMs) increasingly saturate new benchmarks shortly after they are published, benchmarking itself is at a juncture: if frontier models keep improv…

cs.AI2025

End-to-end PDDL Planning with Hardcoded and Dynamic Agents

Emanuele La Malfa, Ping Zhu, Samuele Marro +2

We present an end-to-end framework for planning supported by verifiers. An orchestrator receives a human specification written in natural language and converts it into a PDDL (Plan…

cs.AI2024★ 2 cited

A Scalable Communication Protocol for Networks of Large Language Models

Samuele Marro, Emanuele La Malfa, Jesse Wright +4

Communication is a prerequisite for collaboration. When scaling networks of AI-powered agents, communication must be versatile, efficient, and portable. These requisites, which we…

cs.AI2024

A Notion of Complexity for Theory of Mind via Discrete World Models

X. Angelo Huang, Emanuele La Malfa, Samuele Marro +3

Theory of Mind (ToM) can be used to assess the capabilities of Large Language Models (LLMs) in complex scenarios where social reasoning is required. While the research community ha…

cs.AI2023★ 2 cited

Language Models as a Service: Overview of a New Paradigm and its Challenges

Emanuele La Malfa, Aleksandar Petrov, Simon Frieder +6

Some of the most powerful language models currently are proprietary systems, accessible only via (typically restrictive) web or software programming interfaces. This is the Languag…