:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gaudillo, Joverlyn, Astrologo, Nicole, Stella, Fabio, Acerbi, Enzo, Canonaco, Francesco
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence I.2
Online Access:	https://arxiv.org/abs/2503.17025
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
by: Yuan, Xinzhe, et al.
Published: (2026)

The Arrival of AGI? When Expert Personas Exceed Expert Benchmarks
by: Mullens, Drake, et al.
Published: (2026)

AskSport: Web Application for Sports Question-Answering
by: Onofre, Enzo B, et al.
Published: (2025)

GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
by: Mangannavar, Rajesh, et al.
Published: (2025)

The Parameters of Educability
by: Valiant, Leslie G.
Published: (2024)

Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems
by: Apostolakis, Theocharis, et al.
Published: (2023)

Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package
by: Främling, Kary
Published: (2024)

AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
by: Koenigstein, Nicole
Published: (2026)

Experiments with Encoding Structured Data for Neural Networks
by: Koujalgi, Sujay Nagesh, et al.
Published: (2024)

CIDR: A Large-Scale Industrial Source Code Dataset for Software Engineering Research
by: Savenkov, Vladislav
Published: (2026)

Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology
by: Nagarajan, Radha, et al.
Published: (2025)

Bandwidth Selectors on Semiparametric Bayesian Networks
by: Alejandre, Victor, et al.
Published: (2025)

HCAST: Human-Calibrated Autonomy Software Tasks
by: Rein, David, et al.
Published: (2025)

Towards Ontology-Enhanced Representation Learning for Large Language Models
by: Ronzano, Francesco, et al.
Published: (2024)

Bimanual Robot Manipulation via Multi-Agent In-Context Learning
by: Palma, Alessio, et al.
Published: (2026)

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
by: Srishty, Sharmin Sultana, et al.
Published: (2026)

LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
by: George, Robert Joseph, et al.
Published: (2025)

A Segmented Robot Grasping Perception Neural Network for Edge AI
by: Bröcheler, Casper, et al.
Published: (2025)

OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)

Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning
by: Lee, Kichang, et al.
Published: (2024)

Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots
by: Riscos, Pablo de los, et al.
Published: (2024)

A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)

ASP-based Multi-shot Reasoning via DLV2 with Incremental Grounding
by: Calimeri, Francesco, et al.
Published: (2024)

A Simple Generalisation of the Implicit Dynamics of In-Context Learning
by: Innocenti, Francesco, et al.
Published: (2025)

Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
by: Kurian, Ashley, et al.
Published: (2025)

Collaborative LLM Agents for C4 Software Architecture Design Automation
by: Szczepanik, Kamil, et al.
Published: (2025)

Vision-Guided Iterative Refinement for Frontend Code Generation
by: Sansford, Hannah, et al.
Published: (2026)

Learning Software Bug Reports: A Systematic Literature Review
by: Long, Guoming, et al.
Published: (2025)

Software Defined Vehicle Code Generation: A Few-Shot Prompting Approach
by: Nguyen, Quang-Dung, et al.
Published: (2025)

The Rise and Fall(?) of Software Engineering
by: Mastropaolo, Antonio, et al.
Published: (2024)

Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games
by: Oldenburg, Ninell, et al.
Published: (2024)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)

IG Parser: A Software Package for the Encoding of Institutional Statements using the Institutional Grammar
by: Frantz, Christopher K.
Published: (2025)

SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
by: Ren, Wanying, et al.
Published: (2026)

Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
by: Nafar, Aliakbar, et al.
Published: (2025)

Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
by: Thompson, Kyle, et al.
Published: (2024)

Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space
by: Mangannavar, Rajesh, et al.
Published: (2024)