Imagen de Portada

Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Olsen, Katrina, Padó, Sebastian
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Do Language Models Encode Knowledge of Linguistic Constraint Violations?
por: Hardy, et al.
Publicado: (2026)

Artwork Interpretation with Vision Language Models: A Case Study on Emotions and Emotion Symbols
por: Padó, Sebastian, et al.
Publicado: (2025)

Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean
por: Park, Dojun, et al.
Publicado: (2024)

Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures
por: Lindenmaier, Gabriel, et al.
Publicado: (2025)

Towards Understanding the Relationship between In-context Learning and Compositional Generalization
por: Han, Sungjun, et al.
Publicado: (2024)

Diverging Transformer Predictions for Human Sentence Processing: A Comprehensive Analysis of Agreement Attraction Effects
por: von der Malsburg, Titus, et al.
Publicado: (2026)

Actor Identification in Discourse: A Challenge for LLMs?
por: Barić, Ana, et al.
Publicado: (2024)

Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs
por: Weeber, Franziska, et al.
Publicado: (2025)

Regular-pattern-sensitive CRFs for Distant Label Interactions
por: Papay, Sean, et al.
Publicado: (2024)

Approximate Attributions for Off-the-Shelf Siamese Transformers
por: Möller, Lucas, et al.
Publicado: (2024)

One Persona, Many Cues, Different Results: How Sociodemographic Cues Impact LLM Personalization
por: Weeber, Franziska, et al.
Publicado: (2026)

Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
por: Williams, Tristan, et al.
Publicado: (2026)

Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter
por: Maurer, Maximilian, et al.
Publicado: (2024)

Generalizability of Media Frames: Corpus creation and analysis across countries
por: Daffara, Agnese, et al.
Publicado: (2025)

Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
por: Möller, Lucas, et al.
Publicado: (2024)

AutoMeet: a proof-of-concept study of genAI to automate meetings in automotive engineering
por: Baeuerle, Simon, et al.
Publicado: (2025)

Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
por: Ceron, Tanise, et al.
Publicado: (2024)

Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
por: Cherepanova, Valeriia, et al.
Publicado: (2024)

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
por: Wang, Yang, et al.
Publicado: (2025)

Computational Analysis of Gender Depiction in the Comedias of Calderón de la Barca
por: Keith, Allison, et al.
Publicado: (2024)

Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts
por: Pal, Anwesan, et al.
Publicado: (2025)

Extending Context Window of Large Language Models from a Distributional Perspective
por: Wu, Yingsheng, et al.
Publicado: (2024)

Interpretable Text Embeddings and Text Similarity Explanation: A Survey
por: Opitz, Juri, et al.
Publicado: (2025)

Probing Large Language Models from A Human Behavioral Perspective
por: Wang, Xintong, et al.
Publicado: (2023)

Finding Structure in Language Models
por: Jumelet, Jaap
Publicado: (2024)

Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models
por: Bharthulwar, Sid, et al.
Publicado: (2025)

Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration
por: Huang, Langlin, et al.
Publicado: (2026)

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context
por: Das, Nilanjana, et al.
Publicado: (2024)

Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model
por: Lv, Kangtao, et al.
Publicado: (2026)

Assessing Agentic Large Language Models in Multilingual National Bias
por: Liu, Qianying, et al.
Publicado: (2025)

Context-Enhanced Language Models for Generating Multi-Paper Citations
por: Anand, Avinash, et al.
Publicado: (2024)

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
por: Wang, Xinyi, et al.
Publicado: (2023)

The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model Agents
por: Duan, Yifan, et al.
Publicado: (2025)

Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation
por: Zhang, Zhihao, et al.
Publicado: (2023)

Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language Models
por: Laitenberger, Alex, et al.
Publicado: (2025)

3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
por: Zhan, Shaoxiong, et al.
Publicado: (2026)

In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
por: Li, Mingchen, et al.
Publicado: (2026)

Finding Challenging Metaphors that Confuse Pretrained Language Models
por: Li, Yucheng, et al.
Publicado: (2024)

Long-Context Language Modeling with Parallel Context Encoding
por: Yen, Howard, et al.
Publicado: (2024)

Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming
por: Nguyen, Manh Hung, et al.
Publicado: (2023)