Copertina

ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lee, Jaeyeon, Qi, Guantong, Neeley, Matthew Brady, Liu, Zhandong, Jeong, Hyun-Hwan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LA-MARRVEL: A Knowledge-Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioritization
di: Lee, Jaeyeon, et al.
Pubblicazione: (2025)

Survey and Improvement Strategies for Gene Prioritization with Large Language Models
di: Neeley, Matthew, et al.
Pubblicazione: (2025)

Sequential Test for Practical Significance: Truncated Mixture Sequential Probability Ratio Test
di: Shim, Kyu Min
Pubblicazione: (2025)

DP-SPRT: Differentially Private Sequential Probability Ratio Tests
di: Michel, Thomas, et al.
Pubblicazione: (2025)

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning
di: Zhou, Zhi, et al.
Pubblicazione: (2025)

Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling
di: Wan, Guangya, et al.
Pubblicazione: (2024)

Probability-Consistent Preference Optimization for Enhanced LLM Reasoning
di: Yang, Yunqiao, et al.
Pubblicazione: (2025)

Density Ratio Estimation with Conditional Probability Paths
di: Yu, Hanlin, et al.
Pubblicazione: (2025)

A Simple Geometric Proof of the Optimality of the Sequential Probability Ratio Test for Symmetric Bernoulli Hypotheses
di: Pabbaraju, Chirag, et al.
Pubblicazione: (2025)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
di: Zhang, Kongcheng, et al.
Pubblicazione: (2025)

Extreme-Path Benchmarks for Sequential Probability Forecasts
di: Pipping-Gamón, Jonathan, et al.
Pubblicazione: (2026)

Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
di: Ebihara, Akinori F., et al.
Pubblicazione: (2025)

Sequential Design for the Efficient Estimation of Offshore Structure Failure Probability
di: Speers, Matthew, et al.
Pubblicazione: (2025)

A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
di: Zhou, Zhi, et al.
Pubblicazione: (2025)

Walking the Teacher's Path with Mindfulness
di: Brady, Richard
Pubblicazione: (2025)

Multi-Agent Path Finding via Offline RL and LLM Collaboration
di: Atasever, Merve, et al.
Pubblicazione: (2025)

Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning
di: Song, Jiwon, et al.
Pubblicazione: (2025)

The Role of Personalized Stenosing Tenosynovitis Brace Therapy Based on 3D Printing Technology: A Prospective Cohort Study
di: Guantong Sun, et al.
Pubblicazione: (2024)

LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail)
di: Kim, Junsu, et al.
Pubblicazione: (2025)

KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
di: Zhao, Qi, et al.
Pubblicazione: (2025)

CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
di: Wagner, Eitan, et al.
Pubblicazione: (2024)

GPT Recursive Persona Experiment: Convergent Simulacra via Recursive Affective Scaffolding
di: Jaeyeon, Kang
Pubblicazione: (2025)

RareCollab: an LLM-powered framework for multimodal reasoning in Mendelian disease diagnosis
di: Qi, Guantong, et al.
Pubblicazione: (2026)

Harnessing Consistency for Robust Test-Time LLM Ensemble
di: Zeng, Zhichen, et al.
Pubblicazione: (2025)

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning
di: Kim, Junseok, et al.
Pubblicazione: (2026)

Lossless Token Merging Even Without Fine-Tuning in Vision Transformers
di: Lee, Jaeyeon, et al.
Pubblicazione: (2025)

Jeong-HyunLee/stromatoporoid-reef: v17.0.1
di: Jeong-Hyun Lee
Pubblicazione: (2026)

ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
di: Hyun, Jeeho, et al.
Pubblicazione: (2023)

Token-Efficient RL for LLM Reasoning
di: Lee, Alan, et al.
Pubblicazione: (2025)

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions
di: Papastathopoulos-Katsaros, Athanasios, et al.
Pubblicazione: (2025)

From molecular mechanisms to clinical applications: A comprehensive review of photobiomodulation in cancer treatment
di: Qi Wang, et al.
Pubblicazione: (2025)

ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding
di: Song, Sangjun, et al.
Pubblicazione: (2025)

SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
di: Lee, Wooin, et al.
Pubblicazione: (2026)

Data‐Driven Accommodations: Testing Religious Exemptions in Markets With Discrimination
di: Brady Earley
Pubblicazione: (2025)

Probability Tools for Sequential Random Projection
di: Li, Yingru
Pubblicazione: (2024)

Mind the pine: Suspected environmental allergic contact dermatitis to constituents of pine tar
di: Puneet Arora, et al.
Pubblicazione: (2024)

Finding the Cracks: Improving LLMs Reasoning with Paraphrastic Probing and Consistency Verification
di: Shi, Weili, et al.
Pubblicazione: (2026)

Doppelganger Method: Breaking Role Consistency in LLM Agent via Prompt-based Transferable Adversarial Attack
di: Kang, Daewon, et al.
Pubblicazione: (2025)

Path-Consistency with Prefix Enhancement for Efficient Inference in LLMs
di: Zhu, Jiace, et al.
Pubblicazione: (2024)

SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation
di: Sheng, Junjie, et al.
Pubblicazione: (2025)