:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Upreti, Nijesh, Belle, Vaishak
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	https://arxiv.org/abs/2503.18509
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Logic Tensor Network-Enhanced Generative Adversarial Network
par: Upreti, Nijesh, et autres
Publié: (2026)

Satisfiability Modulo Theory Meets Inductive Logic Programming
par: Upreti, Nijesh, et autres
Publié: (2025)

An Algebraic Framework for Hierarchical Probabilistic Abstraction
par: Upreti, Nijesh, et autres
Publié: (2025)

Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
par: Upreti, Nijesh, et autres
Publié: (2025)

Program Semantic Inequivalence Game with Large Language Models
par: Miceli-Barone, Antonio Valerio, et autres
Publié: (2025)

Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning
par: Diallo, Alec F., et autres
Publié: (2024)

Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learning
par: Mendez-Lucero, Miguel Angel, et autres
Publié: (2024)

Lyria: A Genetic Algorithm-Driven Neuro-Symbolic Reasoning Framework for LLMs
par: Tang, Weizhi, et autres
Publié: (2025)

Softened Symbol Grounding for Neuro-symbolic Systems
par: Li, Zenan, et autres
Publié: (2024)

Neuro-symbolic Learning Yielding Logical Constraints
par: Li, Zenan, et autres
Publié: (2024)

Neuro-symbolic Action Masking for Deep Reinforcement Learning
par: Han, Shuai, et autres
Publié: (2026)

Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
par: Wu, Yuxuan, et autres
Publié: (2025)

Counterfactual Explanations as Plans
par: Belle, Vaishak
Publié: (2025)

Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language Models
par: Tang, Weizhi, et autres
Publié: (2024)

Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information
par: Miceli-Barone, Antonio Valerio, et autres
Publié: (2026)

ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
par: Tang, Weizhi, et autres
Publié: (2024)

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
par: Kalithasan, Namasivayam, et autres
Publié: (2022)

Integrating LTL Constraints into PPO for Safe Reinforcement Learning
par: Zhang, Maifang, et autres
Publié: (2026)

Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning
par: Feldstein, Jonathan, et autres
Publié: (2024)

KV Cache Quantization for Self-Forcing Video Generation: A 33-Method Empirical Study
par: Ranganath, Suraj, et autres
Publié: (2026)

A Counterfactual Cause in Situation Calculus
par: Liu, Daxin, et autres
Publié: (2025)

Practical Considerations for Agentic LLM Systems
par: Sypherd, Chris, et autres
Publié: (2024)

Propositional Abduction via Only-Knowing: A Non-Monotonic Approach
par: Molick, Sanderson, et autres
Publié: (2026)

Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
par: Baugh, Kexin Gu, et autres
Publié: (2025)

ANDRE: An Attention-based Neuro-symbolic Differentiable Rule Extractor for Inductive Logic Programming
par: Sharifi, Iman, et autres
Publié: (2026)

Weakly Supervised Learning on Large Graphs
par: Prakash, Aditya
Publié: (2025)

Removing Sandbagging in LLMs by Training with Weak Supervision
par: Ryd, Emil, et autres
Publié: (2026)

Efficient Counterfactual Reasoning in ProbLog via Single World Intervention Programs
par: Habib, Saimun, et autres
Publié: (2026)

When Can LLMs Learn to Reason with Weak Supervision?
par: Rahman, Salman, et autres
Publié: (2026)

A General Framework for Learning from Weak Supervision
par: Chen, Hao, et autres
Publié: (2024)

Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial Reasoning
par: Ranganath, Suraj, et autres
Publié: (2026)

Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
par: Yao, Xu, et autres
Publié: (2026)

LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language Models
par: Tang, Weizhi, et autres
Publié: (2024)

Weak Supervision Performance Evaluation via Partial Identification
par: Polo, Felipe Maia, et autres
Publié: (2023)

Learning Stable Predictors from Weak Supervision under Distribution Shift
par: Shoeibi, Mehrdad, et autres
Publié: (2026)

Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
par: Xie, Zheng, et autres
Publié: (2023)

Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
par: Mai, Sijie, et autres
Publié: (2024)

Curiosity-driven RL for symbolic equation solving
par: O'Keeffe, Kevin P.
Publié: (2025)

Weak Supervision for Improved Precision in Search Systems
par: Vasudevan, Sriram
Publié: (2025)

CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection
par: Mozafari, Amirhossein, et autres
Publié: (2025)