Cover Image

Intelligence Analysis of Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Galanti, Liane, Baron, Ethan
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Fair Language Model Paradox
by: Pinto, Andrea, et al.
Published: (2024)

From Grounding to Planning: Benchmarking Bottlenecks in Web Agents
by: Shlomov, Segev, et al.
Published: (2024)

AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems
by: Mulian, Hadar, et al.
Published: (2026)

Building Artificial Intelligence with Creative Agency and Self-hood
by: Gabora, Liane, et al.
Published: (2024)

Tool Building as a Path to "Superintelligence"
by: Koplow, David, et al.
Published: (2026)

Agentic Systems as Boosting Weak Reasoning Models
by: Sunkaraneni, Varun, et al.
Published: (2026)

Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning
by: Luthra, Achleshwar, et al.
Published: (2026)

Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
by: Ferguson, Nick, et al.
Published: (2025)

Distribution-Aware Algorithm Design with LLM Agents
by: Koganti, Saharsh, et al.
Published: (2026)

Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models
by: Tang, Ethan
Published: (2026)

Does Self-Evaluation Enable Wireheading in Language Models?
by: Africa, David Demitri, et al.
Published: (2025)

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization
by: Li, Gang, et al.
Published: (2025)

The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?
by: Hägele, Alexander, et al.
Published: (2026)

Are Audio-Language Models Listening? Audio-Specialist Heads for Adaptive Audio Steering
by: Glazer, Neta, et al.
Published: (2026)

Language Models can Self-Improve at State-Value Estimation for Better Search
by: Mendes, Ethan, et al.
Published: (2025)

Jailbreaking Large Vision Language Models in Intelligent Transportation Systems
by: Das, Badhan Chandra, et al.
Published: (2025)

Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
by: Rocamonde, Juan, et al.
Published: (2023)

Knowledge Tagging with Large Language Model based Multi-Agent System
by: Li, Hang, et al.
Published: (2024)

Anticipatory Evaluation of Language Models
by: Park, Jungsoo, et al.
Published: (2025)

Structured Cognitive Loop for Behavioral Intelligence in Large Language Model Agents
by: Kim, Myung Ho
Published: (2025)

TMIQ: Quantifying Test and Measurement Domain Intelligence in Large Language Models
by: Olowe, Emmanuel A., et al.
Published: (2025)

Uncovering Latent Bias in LLM-Based Emergency Department Triage Through Proxy Variables
by: Zhang, Ethan
Published: (2026)

A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
by: Yang, Xiulin, et al.
Published: (2026)

How to Measure the Intelligence of Large Language Models?
by: Körber, Nils, et al.
Published: (2024)

Artificial Intelligence as Strange Intelligence: Against Linear Models of Intelligence
by: Chilson, Kendra, et al.
Published: (2026)

Eureka-Audio: Triggering Audio Intelligence in Compact Language Models
by: Zhang, Dan, et al.
Published: (2026)

Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence
by: Ferreira, Silvan, et al.
Published: (2024)

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
by: Chern, Steffi, et al.
Published: (2024)

Large Language Models and Scientific Discourse: Where's the Intelligence?
by: Collins, Harry, et al.
Published: (2026)

Recursive Symbolic Consciousness: A Formal Model of Emergent Intelligence Across Minds and Machines
by: Goudy, Anastasia
Published: (2025)

Mapping the Landscape of Artificial Intelligence in Life Cycle Assessment Using Large Language Models
by: Mensikova, Anastasija, et al.
Published: (2026)

Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation
by: Yang, Yue, et al.
Published: (2025)

Imagine in Space: Exploring the Frontier of Spatial Intelligence and Reasoning Efficiency in Vision Language Models
by: Lian, Xiaoxing, et al.
Published: (2025)

Monotropic Artificial Intelligence: Toward a Cognitive Taxonomy of Domain-Specialized Language Models
by: Filho, Antonio de Sousa Leitão, et al.
Published: (2026)

OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
by: Yuan, Long, et al.
Published: (2025)

Sustainable and Intelligent Public Facility Failure Management System Based on Large Language Models
by: Bi, Siguo, et al.
Published: (2025)

General-Purpose Aerial Intelligent Agents Empowered by Large Language Models
by: Zhao, Ji, et al.
Published: (2025)

INGRID: Intelligent Generative Robotic Design Using Large Language Models
by: Jia, Guanglu, et al.
Published: (2025)

Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)

Apple Intelligence Foundation Language Models
by: Gunter, Tom, et al.
Published: (2024)