A Quantitative Study of Sustained Focus in Large Language Models via Repetitive Deterministic Prediction Tasks
cs.AI
Submitted: 2025-11-02
Updated: 2026-09-30
Terminology
Sources
- Consistency-diversity-realism Pareto fronts of conditional image generative models
- Training Verifiers to Solve Math Word Problems
- Measuring Mathematical Problem Solving With the MATH Dataset
- Holistic Evaluation of Language Models
- Lost in the Middle: How Language Models Use Long Contexts
- Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve
- A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA
- A Cognitive Writing Perspective for Constrained Long-Form Text Generation
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems