Cover Image

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Eisenstadt, Roy, Zimerman, Itamar, Wolf, Lior
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence I.2.6; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability
by: Bakish, Yarden, et al.
Published: (2025)

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
by: Atad, Ido Andrew, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)

The Hidden Attention of Mamba Models
by: Ali, Ameen, et al.
Published: (2024)

Node-Level Uncertainty Estimation in LLM-Generated SQL
by: Hasson, Hilaf, et al.
Published: (2025)

The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
by: Anderson, Samuel Cyrenius
Published: (2026)

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
by: Rath, Plawan Kumar, et al.
Published: (2026)

CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection
by: Panuganti, Rajkiran
Published: (2026)

On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)

Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
by: Heyman, Alex, et al.
Published: (2025)

How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments
by: Wang, Fuxin, et al.
Published: (2026)

Persona Features Control Emergent Misalignment
by: Wang, Miles, et al.
Published: (2025)

FastForward Pruning: Efficient LLM Pruning via Single-Step Reinforcement Learning
by: Yuan, Xin, et al.
Published: (2025)

ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing
by: Kadu, Ankush, et al.
Published: (2025)

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
by: Lan, Guangchen, et al.
Published: (2025)

Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
by: Xu, Shuyao, et al.
Published: (2025)

Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
by: Steele, Brady, et al.
Published: (2026)

Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)

Extreme AutoML: Analysis of Classification, Regression, and NLP Performance
by: Ratner, Edward, et al.
Published: (2024)

PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization
by: Ding, Ruiyi, et al.
Published: (2026)

OFMU: Optimization-Driven Framework for Machine Unlearning
by: Asif, Sadia, et al.
Published: (2025)

BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)

Autonomous Deep Agent
by: Yu, Amy, et al.
Published: (2025)

The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
by: Adapala, Sai Teja Reddy
Published: (2025)

FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
by: Zhang, Yizhou, et al.
Published: (2025)

Task-Conditioned Routing Signatures in Sparse Mixture-of-Experts Transformers
by: Avinash, Mynampati Sri Ranganadha
Published: (2026)

Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic
by: Zhao, Xingyu, et al.
Published: (2026)

Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2026)

Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
by: Rozonoyer, Benjamin, et al.
Published: (2026)

Less is More: Learning Graph Tasks with Just LLMs
by: Shirai, Sola, et al.
Published: (2025)

METER: Multi-modal Evidence-based Thinking and Explainable Reasoning -- Algorithm and Benchmark
by: Yang, Xu, et al.
Published: (2025)

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)

Benefits and Limitations of Communication in Multi-Agent Reasoning
by: Rizvi-Martel, Michael, et al.
Published: (2025)

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
by: Zimerman, Itamar, et al.
Published: (2024)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)

AMEL: Accumulated Message Effects on LLM Judgments
by: Temkit, Sid-Ali
Published: (2026)

Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
by: Dragoi, Marius, et al.
Published: (2025)

Counterfactual Likelihood Tests for Indirect Influence in Private Reasoning Channels
by: Lorup, Alexander Boesgaard
Published: (2026)

CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026)