Negation

Follow this topic Ask about this topic

Momentum

5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 28

All topics

Skeleton-and-Strategy Prompting: Training-Free Negation Understanding for Vision-Language Models
Oct 1, 2026Yuliang Cai, Mohammad Rostami, Jesse ThomasonNegation Training-Free
Viterbi School of Engineering University of Southern California · Amazon Inc.
Benchmarking MLLMs via Cognitive Expected Scene Graph for Safety-Critical Visual Negation Understanding
Sep 17, 2026Zhiyun Jiang, Hanyong Wang, Binbin Liang +3Negation Situational Awareness
Sichuan University, Chengdu, China · Beijing Institute of Technology, Beijing, China
Negation Beyond the Verbal Channel: Temporal Multimodal Correlates in Dialogue
Sep 14, 2026Leon Hammerla, Patrick Schrottenbacher, Alexander MehlerNonverbal Cues Negation
Goethe University, Frankfurt am Main, Germany
Three Types of Negation of Triple and its Elements and an Extension of Triple
Sep 8, 2026Zhenghua PanNegation Rdf
School of Mathematics and Data Science, Jiangnan University, Wuxi 214122, China
Modus Tollens and Counterfactuals and Counterfactual Reasoning Based on Three Types of Negation
Sep 7, 2026Zhenghua PanNegation Deduction
School of Science, Institute of Mathematics and Physics, Jiangnan University, Wuxi 214122, China
Potential-Guided Particle Steering for Negation-Constrained Dexterous Grasping
Sep 1, 2026Geonho Kim, SooGon Kim, Jongmin LeeRobotic Grasping Geometric Guidance
Department of Computer Science & Engineering, Chung-Ang University
Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies
Aug 5, 2026Shaoguang Wang, Weiyu Guo, Rushi Dai +3Closed Loop Suppression
The Hong Kong University of Science and Technology (Guangzhou) · AI2 Robotics · The Hong Kong University of Science and Technology
An Information Theoretic Treatment of Yager's Probability Distribution Negation
Aug 1, 2026Roberto Bruno, Ugo VaccaroProbability Information-Theoretic Limits
Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084, Salerno, Italy.
Stratified Negation in RDF Rules: A Correct Approach (Extended Version)
Jul 30, 2026Nils Küchenmeister, Alex Ivliev, Dörthe Arndt +1Negation Extended Version
Knowledge-Based Systems Group, TU Dresden, Dresden, Germany · Computational Logic Group, TU Dresden / ScaDS.AI, Dresden/Leipzig, Germany
What CLIP Knows but Cannot Say: Recovering Negation from Frozen Intermediate Features
Jul 25, 2026Chen-Yi Lu, Yueh-Shao Chen, Somali ChaterjiNegation Representational Collapse
Purdue University, West Lafayette, IN 47907, USA
Hybrid MKNF with Classical Negation in the Rule Component
Jul 23, 2026Arun Raveendran Nair Sheela, Christophe Rey, Florence De GranceyNegation
Université Clermont Auvergne, LIMOS Laboratory, Thales · Université Clermont Auvergne, LIMOS · France +3
Learning to Detect Cross-Modal Negation: An Analysis of Latent Representations and an Attention-Based Solution
Jul 20, 2026Ali AbuSaleh, Leon Hammerla, Alexander MehlerCross-Modal Attention Negation
Text Technology Lab Department of Computer Science Goethe University Frankfurt Frankfurt, Germany
The Sound of Absence: Audio-Language Embedding Models Struggle with Negation
Jul 14, 2026Chun-Yi Kuan, Hung-yi LeeNegation Biases
♡Graduate Institute of Communication Engineering, National Taiwan University, Taiwan · ♣Artificial Intelligence Center of Research Excellence (AI-CoRE), National Taiwan University, Taiwan
Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing
Jul 2, 2026Joshua PenmanEpistemic State Replication Epistemic Integrity
Independent Researcher
HANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models
Jun 22, 2026Hoang-Bao Le, Aiden Durrant, Thai Son Mai +3Negation Image-Text Pairs
ADAPT Centre, Dublin City University, Dublin, Ireland · University of East Anglia, Norwich, UK · Queen’s University Belfast, Belfast, UK +1
Evaluating and Enhancing Negation Comprehension in Remote Sensing MLLMs
Jun 18, 2026Haochen Han, Jue Wang, Alex Jinpeng Wang +1Remote Sensing Negation
Peng Cheng Laboratory, Shenzhen, China · Tsinghua University, Beijing, China · Central South University, Changsha, China
As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language
Jun 17, 2026Jasmine Owers, Edwin Simpson, Martha LewisMetaphors Negation
Intelligent Systems Lab University of Bristol UK · ILLC University of Amsterdam The Netherlands
Revisiting the Systematicity in Negation in the Era of In-Context Learning
Jun 15, 2026Hitomi Yanaka, Taisei YamamotoNegation Large Language Models Fail
The University of Tokyo · Riken · Tohoku University
Noisy memory encoding explains negative polarity illusions
Jun 3, 2026Yuhan Zhang, Edward GibsonNegation Surprisal
Department of Linguistics, Stanford University · BIO-X Interdisciplinary Biosciences Institute, Stanford University · Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
Negation Neglect: When models fail to learn negations in training
May 13, 2026Harry Mayne, Lev McKinney, Jan Dubiński +3Negation Artificial Intelligence Safety
University of Oxford · University of Toronto · 3Warsaw University of Technology +6
How Language Models Process Negation
May 4, 2026Zhejian Zhou, Tianyi Zhou, Robin Jia +1Negation Large Language Models Fail
Information Sciences Institute, University of Southern California · Thomas Lord Department of Computer Science, University of Southern California
When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL2DL
Apr 25, 2026Yijiashun Qi, Xiang Xu, Yuxuan LiLarge Language Models Fail Repair
University of Michigan · ByteDance Inc. · University of Pennsylvania
Selective Contrastive Learning For Gloss Free Sign Language Translation
Apr 24, 2026Changhao Lai, Rui Zhao, Xuewen Zhong +2Gloss-Free Sign Language Translation Sign Language Translation
School of Informatics, Xiamen University, China · 2Key Lab of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian-Taiwan (XMU), Ministry of Culture and Tourism, China · 3National Language Resources Monitoring and Research Center for Education and Teaching Media, Xiamen University, China
Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding
Apr 21, 2026Zijie Wang, MohammadHossein Rezaei, Farzana Rashid +1Negation Natural Language
University of Arizona · University of North Carolina Asheville
Disparities In Negation Understanding Across Languages In Vision-Language Models
Apr 21, 2026Charikleia Moraitaki, Sarah Pan, Skyler Pulling +3Negation Linguistics
Massachusetts Institute of Technology
Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models
Apr 20, 2026Ziyao Tang, Pengkun Jiao, Bin Zhu +3Video-Language Models Weak Visual Grounding
Institute of Trustworthy Embodied AI, Fudan University · Shanghai Key Laboratory of Multimodal Embodied AI · Singapore Management University
Thunder-KoNUBench: A Corpus-Aligned Benchmark for Korean Negation Understanding
Jan 8, 2026Sungmok Jung, Yeonkyoung So, Joonhak Lee +3Negation Text Corpora
Graduate School of Data Science, Seoul National University · Dept. of Computer Science and Engineering, Seoul National University
Contrastive vision-language learning with paraphrasing and negation
Nov 20, 2025Kwun Ho Ngan, Saman Sadeghi Afgeh, Joe Townsend +1Contrastive Language-Image Pre-Training Model Negation
Fujitsu Research of Europe · United Kingdom · City St George’s, University of London

Oct 1, 2026, cs.CVJ/K move · Enter open · S save

Skeleton-and-Strategy Prompting: Training-Free Negation Understanding for Vision-Language Models

Yuliang Cai, Mohammad Rostami, Jesse Thomason

Viterbi School of Engineering University of Southern California · Amazon Inc.

Negation Training-Free Question Skeleton

Open paper AskPDF arXiv

Despite the strong performance of Vision-Language Models (VLMs) on a wide range of visual question answering (VQA) tasks, these models consistently struggle to understand negation and produce incorrect answers when questions involve negated clauses. To address this limitation, we propose Skeleton-and-Strategy Prompting (\textbf{SSP}), a training-free, in-context learning method that improves VLM negation understanding capabilities without any parameter updates. Given a negation question, our method first abstracts the underlying question structure into a skeleton, retrieves a small set of same-skeleton questions from a lightweight question pool, then prompts the VLM to analyze their shared negation pattern and synthesize a single-sentence answering strategy. The skeleton and strategy are prepended to the test sample to guide the model correctly tackle the negation problems. Experiments on multiple negation VQA benchmarks show that SSP achieves state-of-the-art performance on negation-focused VQA tasks while remaining computationally efficient.

Momentum

Related topics

Latest papers 28