:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lee, Celine, Rush, Alexander M., Vafa, Keyon
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.01935
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
by: Vafa, Keyon, et al.
Published: (2024)

Potemkin Understanding in Large Language Models
by: Mancoridis, Marina, et al.
Published: (2025)

What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
by: Vafa, Keyon, et al.
Published: (2025)

What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
by: Vafa, Keyon, et al.
Published: (2025)

Evaluating the World Model Implicit in a Generative Model
by: Vafa, Keyon, et al.
Published: (2024)

Great Memory, Shallow Reasoning: Limits of $k$NN-LMs
by: Geng, Shangyi, et al.
Published: (2024)

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity
by: Palod, Vardhan, et al.
Published: (2025)

Commit0: Library Generation from Scratch
by: Zhao, Wenting, et al.
Published: (2024)

Just Enough Thinking: Efficient Reasoning with Adaptive Length Penalties Reinforcement Learning
by: Xiang, Violet, et al.
Published: (2025)

ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning
by: Yi, Jingyang, et al.
Published: (2025)

MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning
by: Kumar, Somnath, et al.
Published: (2024)

Not Too Short, Not Too Long: How LLM Response Length Shapes People's Critical Thinking in Error Detection
by: Friedman, Natalie, et al.
Published: (2026)

InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)

Estimating Wage Disparities Using Foundation Models
by: Vafa, Keyon, et al.
Published: (2024)

Contextual Document Embeddings
by: Morris, John X., et al.
Published: (2024)

More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)

On the Optimal Reasoning Length for RL-Trained Language Models
by: Nohara, Daisuke, et al.
Published: (2026)

Adaptive Overclocking: Dynamic Control of Thinking Path Length via Real-Time Reasoning Signals
by: Jiang, Shuhao, et al.
Published: (2025)

AdaThink-Med: Medical Adaptive Thinking with Uncertainty-Guided Length Calibration
by: Rui, Shaohao, et al.
Published: (2025)

Compute-Constrained Data Selection
by: Yin, Junjie Oscar, et al.
Published: (2024)

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
by: Eisenstadt, Roy, et al.
Published: (2025)

Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
by: Yang, Wenkai, et al.
Published: (2025)

A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniques
by: Ledaguenel, Arthur, et al.
Published: (2024)

Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation
by: Lee, Philip Heejun
Published: (2025)

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
by: An, Sohyun, et al.
Published: (2025)

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
by: Fan, Chenrui, et al.
Published: (2025)

DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning Tasks
by: Song, Jiayi, et al.
Published: (2025)

Three Kinds of AI Ethics
by: Ratti, Emanuele
Published: (2025)

Promoting Critical Thinking With Domain-Specific Generative AI Provocations
by: von Davier, Thomas Şerban, et al.
Published: (2026)

Global Convergence of Multiplicative Updates for the Matrix Mechanism: A Collaborative Proof with Gemini 3
by: Rush, Keith
Published: (2026)

I Could've Asked That: Reformulating Unanswerable Questions
by: Zhao, Wenting, et al.
Published: (2024)

Three Kinds of Negation in Knowledge and Their Mathematical Foundations
by: Pan, Zhenghua, et al.
Published: (2025)

We Urgently Need Intrinsically Kind Machines
by: Hewson, Joshua T. S.
Published: (2024)

Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
by: Zavolokina, Liudmila, et al.
Published: (2024)

MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)

SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
by: Shi, Dachuan, et al.
Published: (2025)

A Theory for Length Generalization in Learning to Reason
by: Xiao, Changnan, et al.
Published: (2024)

Think, Verbalize, then Speak: Bridging Complex Thoughts and Comprehensible Speech
by: Woo, Sang Hoon, et al.
Published: (2025)

Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers
by: Shaw, Peter, et al.
Published: (2025)

Critical Windows of Complexity Control: When Transformers Decide to Reason or Memorize
by: Ali, Sarwan
Published: (2026)