Thought Branches: Interpreting LLM Reasoning Requires Resampling
Fuente:
arXiv
Guardado en:
| Autores principales: | Macar, Uzay, Bogdan, Paul C., Rajamanoharan, Senthooran, Nanda, Neel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Thought Anchors: Which LLM Reasoning Steps Matter?
por: Bogdan, Paul C., et al.
Publicado: (2025)
por: Bogdan, Paul C., et al.
Publicado: (2025)
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
por: Arcuschin, Iván, et al.
Publicado: (2025)
por: Arcuschin, Iván, et al.
Publicado: (2025)
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
por: Ferrando, Javier, et al.
Publicado: (2024)
por: Ferrando, Javier, et al.
Publicado: (2024)
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
por: Casademunt, Helena, et al.
Publicado: (2025)
por: Casademunt, Helena, et al.
Publicado: (2025)
Emergent Misalignment is Easy, Narrow Misalignment is Hard
por: Soligo, Anna, et al.
Publicado: (2026)
por: Soligo, Anna, et al.
Publicado: (2026)
Convergent Linear Representations of Emergent Misalignment
por: Soligo, Anna, et al.
Publicado: (2025)
por: Soligo, Anna, et al.
Publicado: (2025)
Simple Mechanistic Explanations for Out-Of-Context Reasoning
por: Wang, Atticus, et al.
Publicado: (2025)
por: Wang, Atticus, et al.
Publicado: (2025)
Model Organisms for Emergent Misalignment
por: Turner, Edward, et al.
Publicado: (2025)
por: Turner, Edward, et al.
Publicado: (2025)
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
por: Kantamneni, Subhash, et al.
Publicado: (2025)
por: Kantamneni, Subhash, et al.
Publicado: (2025)
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
por: Lieberum, Tom, et al.
Publicado: (2024)
por: Lieberum, Tom, et al.
Publicado: (2024)
How Well Do Models Follow Their Constitutions?
por: Jakkli, Arya, et al.
Publicado: (2026)
por: Jakkli, Arya, et al.
Publicado: (2026)
Dense SAE Latents Are Features, Not Bugs
por: Sun, Xiaoqing, et al.
Publicado: (2025)
por: Sun, Xiaoqing, et al.
Publicado: (2025)
Explorations of Self-Repair in Language Models
por: Rushing, Cody, et al.
Publicado: (2024)
por: Rushing, Cody, et al.
Publicado: (2024)
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
por: Zhang, Fred, et al.
Publicado: (2023)
por: Zhang, Fred, et al.
Publicado: (2023)
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
por: Minder, Julian, et al.
Publicado: (2025)
por: Minder, Julian, et al.
Publicado: (2025)
Improving Dictionary Learning with Gated Sparse Autoencoders
por: Rajamanoharan, Senthooran, et al.
Publicado: (2024)
por: Rajamanoharan, Senthooran, et al.
Publicado: (2024)
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels
por: Castleman, Blake, et al.
Publicado: (2024)
por: Castleman, Blake, et al.
Publicado: (2024)
Towards eliciting latent knowledge from LLMs with mechanistic interpretability
por: Cywiński, Bartosz, et al.
Publicado: (2025)
por: Cywiński, Bartosz, et al.
Publicado: (2025)
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
por: Yang, Ling, et al.
Publicado: (2025)
por: Yang, Ling, et al.
Publicado: (2025)
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
por: Punjwani, Saif, et al.
Publicado: (2025)
por: Punjwani, Saif, et al.
Publicado: (2025)
Transcoders Find Interpretable LLM Feature Circuits
por: Dunefsky, Jacob, et al.
Publicado: (2024)
por: Dunefsky, Jacob, et al.
Publicado: (2024)
Scaling sparse feature circuit finding for in-context learning
por: Kharlapenko, Dmitrii, et al.
Publicado: (2025)
por: Kharlapenko, Dmitrii, et al.
Publicado: (2025)
What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering
por: Maar, Jim, et al.
Publicado: (2026)
por: Maar, Jim, et al.
Publicado: (2026)
Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling
por: Guo, Yiran, et al.
Publicado: (2026)
por: Guo, Yiran, et al.
Publicado: (2026)
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
por: Aytes, Simon A., et al.
Publicado: (2025)
por: Aytes, Simon A., et al.
Publicado: (2025)
Subliminal Learning Is Steering Vector Distillation
por: Blank, Camila, et al.
Publicado: (2026)
por: Blank, Camila, et al.
Publicado: (2026)
ORION: Teaching Language Models to Reason Efficiently in the Language of Thought
por: Tanmay, Kumar, et al.
Publicado: (2025)
por: Tanmay, Kumar, et al.
Publicado: (2025)
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
por: Hu, Lijie, et al.
Publicado: (2024)
por: Hu, Lijie, et al.
Publicado: (2024)
Real-Time Detection of Hallucinated Entities in Long-Form Generation
por: Obeso, Oscar, et al.
Publicado: (2025)
por: Obeso, Oscar, et al.
Publicado: (2025)
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
por: Casademunt, Helena, et al.
Publicado: (2026)
por: Casademunt, Helena, et al.
Publicado: (2026)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
por: Ye, Jiacheng, et al.
Publicado: (2024)
por: Ye, Jiacheng, et al.
Publicado: (2024)
Fractured Chain-of-Thought Reasoning
por: Liao, Baohao, et al.
Publicado: (2025)
por: Liao, Baohao, et al.
Publicado: (2025)
Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient
por: Li, Changming, et al.
Publicado: (2026)
por: Li, Changming, et al.
Publicado: (2026)
When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
por: Emmons, Scott, et al.
Publicado: (2025)
por: Emmons, Scott, et al.
Publicado: (2025)
SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought Exploration
por: Zhang, Xichen, et al.
Publicado: (2025)
por: Zhang, Xichen, et al.
Publicado: (2025)
Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
por: Golowich, Noah, et al.
Publicado: (2026)
por: Golowich, Noah, et al.
Publicado: (2026)
Reasoning to Learn from Latent Thoughts
por: Ruan, Yangjun, et al.
Publicado: (2025)
por: Ruan, Yangjun, et al.
Publicado: (2025)
Confidence Regulation Neurons in Language Models
por: Stolfo, Alessandro, et al.
Publicado: (2024)
por: Stolfo, Alessandro, et al.
Publicado: (2024)
Building Production-Ready Probes For Gemini
por: Kramár, János, et al.
Publicado: (2026)
por: Kramár, János, et al.
Publicado: (2026)
Refusal in Language Models Is Mediated by a Single Direction
por: Arditi, Andy, et al.
Publicado: (2024)
por: Arditi, Andy, et al.
Publicado: (2024)
Ejemplares similares
-
Thought Anchors: Which LLM Reasoning Steps Matter?
por: Bogdan, Paul C., et al.
Publicado: (2025) -
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
por: Arcuschin, Iván, et al.
Publicado: (2025) -
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
por: Ferrando, Javier, et al.
Publicado: (2024) -
Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
por: Casademunt, Helena, et al.
Publicado: (2025) -
Emergent Misalignment is Easy, Narrow Misalignment is Hard
por: Soligo, Anna, et al.
Publicado: (2026)