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Negation

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TitleStatusHype
Modeling (Deontic) Modal Operators With the s(CASP) Goal-directed Predicate Answer Set Programming System—0
Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance—0
Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding—0
Propositional Logic for Probing Generalization in Neural Networks—0
Antithetic Noise in Diffusion Models—0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding—0
Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering TasksCode0
On Fairness of Task Arithmetic: The Role of Task Vectors—0
Three Kinds of Negation in Knowledge and Their Mathematical Foundations—0
What Has Been Lost with Synthetic Evaluation?—0
NegVQA: Can Vision Language Models Understand Negation?—0
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP—0
CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness ChecksCode0
A New Tractable Description Logic under Categorical Semantics—0
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language ModelsCode2
High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers—0
Transformers for Complex Query Answering over Knowledge Hypergraphs—0
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings—0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers—0
negativas: a prototype for searching and classifying sentential negation in speech dataCode0
Efficient Model Editing with Task-Localized Sparse Fine-tuningCode0
Negation: A Pink Elephant in the Large Language Models' Room?—0
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP—0
A Unified Approach to Enforce Non-Negativity Constraint in Neural Network Approximation for Optimal Voltage Regulation (preprint)—0
Is CLIP ideal? No. Can we fix it? Yes!Code2
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