Cover Image

Towards a Path Dependent Account of Category Fluency

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Heineman, David, Koenen, Reba, Varma, Sashank
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
by: Shah, Raj Sanjay, et al.
Published: (2023)

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
by: Shah, Raj Sanjay, et al.
Published: (2025)

The Representational Geometry of Number
by: Hu, Zhimin, et al.
Published: (2026)

Pre-training LLMs using human-like development data corpus
by: Bhardwaj, Khushi, et al.
Published: (2023)

Are More Tokens Rational? Inference-Time Scaling in Language Models as Adaptive Resource Rationality
by: Hu, Zhimin, et al.
Published: (2026)

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect
by: Vemuri, Siddhartha K., et al.
Published: (2024)

Modeling Understanding of Story-Based Analogies Using Large Language Models
by: Inani, Kalit, et al.
Published: (2025)

The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
by: Lalai, Harsh Nishant, et al.
Published: (2025)

Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge
by: Zhou, Xiaolin, et al.
Published: (2026)

Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations
by: Agrawal, Garima, et al.
Published: (2024)

Towards Understanding the Robustness of LLM-based Evaluations under Perturbations
by: Chaudhary, Manav, et al.
Published: (2024)

Quantity Convergence, Quality Divergence: Disentangling Fluency and Accuracy in L2 Mandarin Prosody
by: Shi, Yuqi, et al.
Published: (2026)

Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding
by: Muralidharan, Balaji, et al.
Published: (2024)

Towards Inference-time Category-wise Safety Steering for Large Language Models
by: Bhattacharjee, Amrita, et al.
Published: (2024)

On the Inductive Bias of Stacking Towards Improving Reasoning
by: Saunshi, Nikunj, et al.
Published: (2024)

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization
by: Bao, Qiming, et al.
Published: (2026)

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
by: Lian, Xin, et al.
Published: (2024)

Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
by: Ong, Keane, et al.
Published: (2025)

Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation
by: Dorbala, Vishnu Sashank, et al.
Published: (2023)

Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
by: Shayegh, Behzad, et al.
Published: (2025)

PrunePath: Towards Highly Structured Sparse Language Models
by: Gu, Zhexuan, et al.
Published: (2026)

Full-Parameter Continual Pretraining of Gemma2: Insights into Fluency and Domain Knowledge
by: Šliogeris, Vytenis, et al.
Published: (2025)

Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension
by: Iwaki, Fumitaka, et al.
Published: (2026)

Cat-DPO: Category-Adaptive Safety Alignment
by: Yang, Tiankai, et al.
Published: (2026)

Olmix: A Framework for Data Mixing Throughout LM Development
by: Chen, Mayee F., et al.
Published: (2026)

CBF-AFA: Chunk-Based Multi-SSL Fusion for Automatic Fluency Assessment
by: Wade, Papa Séga, et al.
Published: (2025)

Kuaiji: the First Chinese Accounting Large Language Model
by: Luo, Jiayuan, et al.
Published: (2024)

Understanding the Countably Infinite: Neural Network Models of the Successor Function and its Acquisition
by: Gupta, Vima, et al.
Published: (2023)

Multi-LLM QA with Embodied Exploration
by: Patel, Bhrij, et al.
Published: (2024)

Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges
by: Shi, Xiaoming, et al.
Published: (2024)

Establishing Task Scaling Laws via Compute-Efficient Model Ladders
by: Bhagia, Akshita, et al.
Published: (2024)

Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding
by: Zhou, Jun, et al.
Published: (2024)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)

Reasoning with Latent Thoughts: On the Power of Looped Transformers
by: Saunshi, Nikunj, et al.
Published: (2025)

On the Difficulty of Token-Level Modeling of Dysfluency and Fluency Shaping Artifacts
by: Gulzar, Kashaf, et al.
Published: (2025)

Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
by: Guan, ChaoFeng, et al.
Published: (2024)

How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian
by: Pedrotti, Andrea, et al.
Published: (2025)

The Inadequacy of Offline LLM Evaluations: A Need to Account for Personalization in Model Behavior
by: Wang, Angelina, et al.
Published: (2025)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
by: Cheetirala, Satya Narayana, et al.
Published: (2025)

Unmasking the Canvas: A Dynamic Benchmark for Image Generation Jailbreaking and LLM Content Safety
by: Nair, Variath Madhupal Gautham, et al.
Published: (2025)