:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wolff, Cornelius, Hulsebos, Madelon
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2505.07453
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis
by: Gomm, Daniel, et al.
Published: (2025)

Towards Contextual Sensitive Data Detection
by: Telkamp, Liang, et al.
Published: (2025)

SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas
by: Wolff, Cornelius, et al.
Published: (2025)

TARGET: Benchmarking Table Retrieval for Generative Tasks
by: Ji, Xingyu, et al.
Published: (2025)

Fine-Grained Table Retrieval Through the Lens of Complex Queries
by: Kosiuk, Wojciech, et al.
Published: (2026)

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
by: Seedat, Nabeel, et al.
Published: (2023)

OpenAI-o1 AB Testing: Does the o1 model really do good reasoning in math problem solving?
by: Li, Leo, et al.
Published: (2024)

LLM world models are mental: Output layer evidence of brittle world model use in LLM mechanical reasoning
by: Robertson, Cole, et al.
Published: (2025)

Preserving logical and functional dependencies in synthetic tabular data
by: Umesh, Chaithra, et al.
Published: (2024)

Bidirectional Emergent Language in Situated Environments
by: Wolff, Cornelius, et al.
Published: (2024)

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs
by: Vaghasiya, Jay, et al.
Published: (2025)

An improved tabular data generator with VAE-GMM integration
by: Apellániz, Patricia A., et al.
Published: (2024)

HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
by: Marszałek, Patryk, et al.
Published: (2025)

How well can LLMs Grade Essays in Arabic?
by: Ghazawi, Rayed, et al.
Published: (2025)

How well do LLMs cite relevant medical references? An evaluation framework and analyses
by: Wu, Kevin, et al.
Published: (2024)

Harnessing the power of LLMs for normative reasoning in MASs
by: Savarimuthu, Bastin Tony Roy, et al.
Published: (2024)

How well can LLMs provide planning feedback in grounded environments?
by: Li, Yuxuan, et al.
Published: (2025)

Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
by: Mohammadi, Hadi, et al.
Published: (2025)

"I know myself better, but not really greatly": How Well Can LLMs Detect and Explain LLM-Generated Texts?
by: Ji, Jiazhou, et al.
Published: (2025)

PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
by: Schiesser, Lukas, et al.
Published: (2025)

Can LLMs perform structured graph reasoning?
by: Agrawal, Palaash, et al.
Published: (2024)

Limited Reasoning Space: The cage of long-horizon reasoning in LLMs
by: Li, Zhenyu, et al.
Published: (2026)

Are LLMs classical or nonmonotonic reasoners? Lessons from generics
by: Leidinger, Alina, et al.
Published: (2024)

Can formal argumentative reasoning enhance LLMs performances?
by: Castagna, Federico, et al.
Published: (2024)

FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?
by: Wu, Eric, et al.
Published: (2024)

Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare
by: Vallevik, Vibeke Binz, et al.
Published: (2024)

Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)

Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification
by: Liu, Quangao, et al.
Published: (2024)

Exploring System 1 and 2 communication for latent reasoning in LLMs
by: Coda-Forno, Julian, et al.
Published: (2025)

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
by: Luo, Linhao, et al.
Published: (2025)

Are complicated loss functions necessary for teaching LLMs to reason?
by: Carrino, Gabriele, et al.
Published: (2026)

Reinforcing privacy reasoning in LLMs via normative simulacra from fiction
by: Franchi, Matt, et al.
Published: (2026)

Can Multi-modal (reasoning) LLMs work as deepfake detectors?
by: Ren, Simiao, et al.
Published: (2025)

A Review of Nine Physics Engines for Reinforcement Learning Research
by: Kaup, Michael, et al.
Published: (2024)

Evaluating Datalog Tools for Meta-reasoning over OWL 2 QL
by: Qureshi, Haya Majid, et al.
Published: (2024)

Incremental, inconsistency-resilient reasoning over Description Logic Abox streams
by: Proost, Cas, et al.
Published: (2026)

A Systematic Reproducibility Study of BSARec for Sequential Recommendation
by: Hutter, Jan, et al.
Published: (2025)

Chemical reasoning in LLMs unlocks strategy-aware synthesis planning and reaction mechanism elucidation
by: Bran, Andres M, et al.
Published: (2025)

Interpretable classifiers for tabular data via discretization and feature selection
by: Jaakkola, Reijo, et al.
Published: (2024)

Lost in Translation: Policymakers are not really listening to Citizen Concerns about AI
by: Aaronson, Susan Ariel, et al.
Published: (2025)