Image de couverture de livre

Four Quadrants of Difficulty: A Simple Categorisation and its Limits

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Toborek, Vanessa, Müller, Sebastian, Bauckhage, Christian
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CFIRE: A General Method for Combining Local Explanations
par: Müller, Sebastian, et autres
Publié: (2025)

Beyond Shallow Heuristics: Leveraging Human Intuition for Curriculum Learning
par: Toborek, Vanessa, et autres
Publié: (2025)

Scientific Theory of a Black-Box: A Life Cycle-Scale XAI Framework Based on Constructive Empiricism
par: Müller, Sebastian, et autres
Publié: (2026)

Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness
par: Hillebrand, Lars, et autres
Publié: (2024)

Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM
par: Hillebrand, Lars, et autres
Publié: (2025)

Improving Compactness and Reducing Ambiguity of CFIRE Rule-Based Explanations
par: Müller, Sebastian, et autres
Publié: (2026)

Adaptive Multi-Expert Reasoning via Difficulty-Aware Routing and Uncertainty-Guided Aggregation
par: Ehab, Mohamed, et autres
Publié: (2026)

Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
par: Thorat, Shantanu, et autres
Publié: (2024)

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
par: Zhang, Xuemiao, et autres
Publié: (2025)

HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning
par: Wang, Weiqi, et autres
Publié: (2026)

Toward Understanding Unlearning Difficulty: A Mechanistic Perspective and Circuit-Guided Difficulty Metric
par: Cheng, Jiali, et autres
Publié: (2026)

Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
par: Xia, Yinan, et autres
Publié: (2026)

SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
par: Scarlatos, Alexander, et autres
Publié: (2025)

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
par: Ethayarajh, Kawin, et autres
Publié: (2021)

ESURF: Simple and Effective EDU Segmentation
par: Sediqin, Mohammadreza, et autres
Publié: (2025)

Simple and Effective Input Reformulations for Translation
par: Yu, Brian, et autres
Publié: (2023)

Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
par: Razavi, Pooya, et autres
Publié: (2025)

On the Difficulty of Token-Level Modeling of Dysfluency and Fluency Shaping Artifacts
par: Gulzar, Kashaf, et autres
Publié: (2025)

Simple Mechanisms for Representing, Indexing and Manipulating Concepts
par: Li, Yuanzhi, et autres
Publié: (2023)

Hyperparameter Loss Surfaces Are Simple Near their Optima
par: Lourie, Nicholas, et autres
Publié: (2025)

Simple Mechanistic Explanations for Out-Of-Context Reasoning
par: Wang, Atticus, et autres
Publié: (2025)

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models
par: Berger, Armin, et autres
Publié: (2025)

A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
par: Pecher, Branislav, et autres
Publié: (2023)

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap
par: Qi, Xuan, et autres
Publié: (2025)

It's Not That Simple. An Analysis of Simple Test-Time Scaling
par: Wu, Guojun
Publié: (2025)

Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
par: Jain, Neel, et autres
Publié: (2024)

Compressing LLMs: The Truth is Rarely Pure and Never Simple
par: Jaiswal, Ajay, et autres
Publié: (2023)

LyriCAR: A Difficulty-Aware Curriculum Reinforcement Learning Framework For Controllable Lyric Translation
par: Ren, Le, et autres
Publié: (2025)

GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
par: Dipta, Shubhashis Roy, et autres
Publié: (2026)

Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach
par: Li, Yuepei, et autres
Publié: (2024)

SimpleGPT: Improving GPT via A Simple Normalization Strategy
par: Chen, Marco, et autres
Publié: (2026)

A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
par: Feng, Xiaohua, et autres
Publié: (2025)

How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty
par: Kim, Hazel H.
Publié: (2024)

SimPO: Simple Preference Optimization with a Reference-Free Reward
par: Meng, Yu, et autres
Publié: (2024)

FoldGPT: Simple and Effective Large Language Model Compression Scheme
par: Liu, Songwei, et autres
Publié: (2024)

Simple linear attention language models balance the recall-throughput tradeoff
par: Arora, Simran, et autres
Publié: (2024)

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
par: Cai, Tianle, et autres
Publié: (2024)

Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
par: Ding, Mucong, et autres
Publié: (2024)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
par: Zhou, Yuhang, et autres
Publié: (2025)

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling
par: Cook, Jack, et autres
Publié: (2025)