Cover Image

Beyond Accuracy: Decomposing the Reasoning Efficiency of LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kaiser, Daniel, Frigessi, Arnoldo, Ramezani-Kebrya, Ali, Ricaud, Benjamin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning 68T50, 68T05 I.2.7; I.2.6; F.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
by: Kaiser, Daniel, et al.
Published: (2025)

How much do LLMs learn from negative examples?
by: Hamdan, Shadi, et al.
Published: (2025)

From Noise to Diversity: Random Embedding Injection in LLM Reasoning
by: Kim, Heejun, et al.
Published: (2026)

Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)

Constitution or Collapse? Exploring Constitutional AI with Llama 3-8B
by: Zhang, Xue
Published: (2025)

XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
by: Estevanell-Valladares, Ernesto L., et al.
Published: (2025)

The Geometry of Persona: Disentangling Personality from Reasoning in Large Language Models
by: Wang, Zhixiang
Published: (2025)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026)

Rethinking the Multilingual Reasoning Gap with Layer Swap
by: Lasbordes, Maxence, et al.
Published: (2026)

Communicative Agents for Slideshow Storytelling Video Generation based on LLMs
by: Fan, Jingxing, et al.
Published: (2025)

DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
by: Li, Yangyang
Published: (2025)

Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
by: Pather, Kaviraj, et al.
Published: (2025)

Transactional Attention: Semantic Sponsorship for KV-Cache Retention
by: Basu, Abhinaba
Published: (2026)

lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation
by: Tikhonov, Alexey, et al.
Published: (2026)

Mitigating Position-Shift Failures in Text-Based Modular Arithmetic via Position Curriculum and Template Diversity
by: Yudin, Nikolay
Published: (2026)

Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agent
by: Xia, Bowei, et al.
Published: (2026)

No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
by: Sela, Omer
Published: (2026)

Doğal Dil İşlemede Tokenizasyon Standartları ve Ölçümü: Türkçe Üzerinden Büyük Dil Modellerinin Karşılaştırmalı Analizi
by: Bayram, M. Ali, et al.
Published: (2025)

Büyük Dil Modelleri için TR-MMLU Benchmarkı: Performans Değerlendirmesi, Zorluklar ve İyileştirme Fırsatları
by: Bayram, M. Ali, et al.
Published: (2025)

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
by: Hill, Brennen
Published: (2025)

Drift and selection in LLM text ecosystems
by: Riis, Søren
Published: (2026)

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions
by: Alpay, Faruk, et al.
Published: (2025)

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Imanov, Olaf Yunus Laitinen
Published: (2026)

Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)

Inference acceleration for large language models using "stairs" assisted greedy generation
by: Grigaliūnas, Domas, et al.
Published: (2024)

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
by: Nwokocha, Caleb Princewill
Published: (2022)

IFMTBench: A Comprehensive Benchmark for Multilingual Translation Instruction Following
by: Sun, Mingrui, et al.
Published: (2026)

Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
by: Delgado, Francisco Jose Cortes, et al.
Published: (2025)

Targeted Lexical Injection: Unlocking Latent Cross-Lingual Alignment in Lugha-Llama via Early-Layer LoRA Fine-Tuning
by: Ngugi, Stanley
Published: (2025)

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
by: Nieth, Björn, et al.
Published: (2026)

Hybrid Gated Flow (HGF): Stabilizing 1.58-bit LLMs via Selective Low-Rank Correction
by: Pizzo, David Alejandro Trejo
Published: (2026)

PropXplain: Can LLMs Enable Explainable Propaganda Detection?
by: Hasanain, Maram, et al.
Published: (2025)

Approaches to Semantic Textual Similarity in Slovak Language: From Algorithms to Transformers
by: Radosky, Lukas, et al.
Published: (2026)

Fact Grounded Attention: Eliminating Hallucination in Large Language Models Through Attention Level Knowledge Integration
by: Gupta, Aayush
Published: (2025)

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages
by: Alam, Firoj, et al.
Published: (2026)