CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Hegde, Niharika, Paul, Subarnaduti, Joel-Frey, Lars, Brack, Manuel, Kersting, Kristian, Mundt, Martin, Schramowski, Patrick |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Core Tokensets for Data-efficient Sequential Training of Transformers
por: Paul, Subarnaduti, et al.
Publicado: (2024)
por: Paul, Subarnaduti, et al.
Publicado: (2024)
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
por: Deiseroth, Björn, et al.
Publicado: (2024)
por: Deiseroth, Björn, et al.
Publicado: (2024)
Masked Autoencoders are Efficient Continual Federated Learners
por: Paul, Subarnaduti, et al.
Publicado: (2023)
por: Paul, Subarnaduti, et al.
Publicado: (2023)
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
por: Mundt, Martin, et al.
Publicado: (2025)
por: Mundt, Martin, et al.
Publicado: (2025)
Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench
por: Friedrich, Felix, et al.
Publicado: (2025)
por: Friedrich, Felix, et al.
Publicado: (2025)
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
por: Helff, Lukas, et al.
Publicado: (2024)
por: Helff, Lukas, et al.
Publicado: (2024)
SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs
por: Härle, Ruben, et al.
Publicado: (2024)
por: Härle, Ruben, et al.
Publicado: (2024)
LIME: Making LLM Data More Efficient with Linguistic Metadata Embeddings
por: Sztwiertnia, Sebastian, et al.
Publicado: (2025)
por: Sztwiertnia, Sebastian, et al.
Publicado: (2025)
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
por: Deiseroth, Björn, et al.
Publicado: (2023)
por: Deiseroth, Björn, et al.
Publicado: (2023)
Measuring and Guiding Monosemanticity
por: Härle, Ruben, et al.
Publicado: (2025)
por: Härle, Ruben, et al.
Publicado: (2025)
No Safe Dose: How Training Data Drives Unsafe Image Generation
por: Friedrich, Felix, et al.
Publicado: (2026)
por: Friedrich, Felix, et al.
Publicado: (2026)
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
por: Struppek, Lukas, et al.
Publicado: (2022)
por: Struppek, Lukas, et al.
Publicado: (2022)
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
por: Friedrich, Felix, et al.
Publicado: (2024)
por: Friedrich, Felix, et al.
Publicado: (2024)
How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
por: Brack, Manuel, et al.
Publicado: (2025)
por: Brack, Manuel, et al.
Publicado: (2025)
DeiSAM: Segment Anything with Deictic Prompting
por: Shindo, Hikaru, et al.
Publicado: (2024)
por: Shindo, Hikaru, et al.
Publicado: (2024)
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Inconsistencies
por: Friedrich, Felix, et al.
Publicado: (2024)
por: Friedrich, Felix, et al.
Publicado: (2024)
LEDITS++: Limitless Image Editing using Text-to-Image Models
por: Brack, Manuel, et al.
Publicado: (2023)
por: Brack, Manuel, et al.
Publicado: (2023)
BOWL: A Deceptively Simple Open World Learner
por: Kamath, Roshni . R., et al.
Publicado: (2024)
por: Kamath, Roshni . R., et al.
Publicado: (2024)
Deep Classifier Mimicry without Data Access
por: Braun, Steven, et al.
Publicado: (2023)
por: Braun, Steven, et al.
Publicado: (2023)
Adaptive Rational Activations to Boost Deep Reinforcement Learning
por: Delfosse, Quentin, et al.
Publicado: (2021)
por: Delfosse, Quentin, et al.
Publicado: (2021)
A Typology for Exploring the Mitigation of Shortcut Behavior
por: Friedrich, Felix, et al.
Publicado: (2022)
por: Friedrich, Felix, et al.
Publicado: (2022)
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
por: Ali, Mehdi, et al.
Publicado: (2025)
por: Ali, Mehdi, et al.
Publicado: (2025)
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
por: Helff, Lukas, et al.
Publicado: (2025)
por: Helff, Lukas, et al.
Publicado: (2025)
Does CLIP Know My Face?
por: Hintersdorf, Dominik, et al.
Publicado: (2022)
por: Hintersdorf, Dominik, et al.
Publicado: (2022)
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
por: Tedeschi, Simone, et al.
Publicado: (2024)
por: Tedeschi, Simone, et al.
Publicado: (2024)
SLR: Automated Synthesis for Scalable Logical Reasoning
por: Helff, Lukas, et al.
Publicado: (2025)
por: Helff, Lukas, et al.
Publicado: (2025)
SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
por: Shindo, Hikaru, et al.
Publicado: (2026)
por: Shindo, Hikaru, et al.
Publicado: (2026)
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization
por: Deiseroth, Björn, et al.
Publicado: (2023)
por: Deiseroth, Björn, et al.
Publicado: (2023)
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
por: Paul, Indraneil, et al.
Publicado: (2025)
por: Paul, Indraneil, et al.
Publicado: (2025)
CORE: A Conceptual Reasoning Layer for Large Language Models
por: Hegde, Vishwas, et al.
Publicado: (2025)
por: Hegde, Vishwas, et al.
Publicado: (2025)
Tractable Representation Learning with Probabilistic Circuits
por: Braun, Steven, et al.
Publicado: (2025)
por: Braun, Steven, et al.
Publicado: (2025)
ART: Adaptive Relation Tuning for Generalized Relation Prediction
por: Sudhakaran, Gopika, et al.
Publicado: (2025)
por: Sudhakaran, Gopika, et al.
Publicado: (2025)
Learning by Self-Explaining
por: Stammer, Wolfgang, et al.
Publicado: (2023)
por: Stammer, Wolfgang, et al.
Publicado: (2023)
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
por: Struppek, Lukas, et al.
Publicado: (2025)
por: Struppek, Lukas, et al.
Publicado: (2025)
Assessing SPARQL capabilities of Large Language Models
por: Meyer, Lars-Peter, et al.
Publicado: (2024)
por: Meyer, Lars-Peter, et al.
Publicado: (2024)
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English
por: Bäumler, Julian, et al.
Publicado: (2025)
por: Bäumler, Julian, et al.
Publicado: (2025)
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance
por: Heim, Desiree, et al.
Publicado: (2025)
por: Heim, Desiree, et al.
Publicado: (2025)
Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning
por: Ostermann, Simon, et al.
Publicado: (2024)
por: Ostermann, Simon, et al.
Publicado: (2024)
Dynamic Topic Evolution with Temporal Decay and Attention in Large Language Models
por: Wu, Di, et al.
Publicado: (2025)
por: Wu, Di, et al.
Publicado: (2025)
Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
por: Knupp, Jonas, et al.
Publicado: (2026)
por: Knupp, Jonas, et al.
Publicado: (2026)
Ejemplares similares
-
Core Tokensets for Data-efficient Sequential Training of Transformers
por: Paul, Subarnaduti, et al.
Publicado: (2024) -
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
por: Deiseroth, Björn, et al.
Publicado: (2024) -
Masked Autoencoders are Efficient Continual Federated Learners
por: Paul, Subarnaduti, et al.
Publicado: (2023) -
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
por: Mundt, Martin, et al.
Publicado: (2025) -
Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench
por: Friedrich, Felix, et al.
Publicado: (2025)