Cover Image

Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saenko, Anton, Gajjar, Pranshav, Ganiyu, Abiodun, Shah, Vijay K.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components
by: Ganiyu, Abiodun, et al.
Published: (2025)

ORANSight-2.0: Foundational LLMs for O-RAN
by: Gajjar, Pranshav, et al.
Published: (2025)

ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks
by: Gajjar, Pranshav, et al.
Published: (2024)

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications
by: Gajjar, Pranshav, et al.
Published: (2026)

TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications
by: Gajjar, Pranshav, et al.
Published: (2026)

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
by: Gajjar, Pranshav, et al.
Published: (2024)

LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
by: Gajjar, Pranshav, et al.
Published: (2026)

Agents Should Replace Narrow Predictive AI as the Orchestrator in 6G AI-RAN
by: Gajjar, Pranshav, et al.
Published: (2026)

Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation
by: Gajjar, Pranshav, et al.
Published: (2025)

Tele-LLM-Hub: Building Context-Aware Multi-Agent LLM Systems for Telecom Networks
by: Gajjar, Pranshav, et al.
Published: (2025)

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
by: Natanzi, Seyed Bagher Hashemi, et al.
Published: (2026)

From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
by: Deng, Yuntian, et al.
Published: (2024)

The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation
by: Lan, Yifan, et al.
Published: (2026)

Cardiac Stability Theory: An Axiomatically Grounded Framework for Continuous Cardiac Health Monitoring via Smartphone Photoplethysmography
by: Oladunni, Timothy, et al.
Published: (2026)

CER: Confidence Enhanced Reasoning in LLMs
by: Razghandi, Ali, et al.
Published: (2025)

The Effects of Data Augmentation on Confidence Estimation for LLMs
by: Wang, Rui, et al.
Published: (2025)

How Likely Do LLMs with CoT Mimic Human Reasoning?
by: Bao, Guangsheng, et al.
Published: (2024)

CAKE: Confidence in Assignments via K-partition Ensembles
by: Semoglou, Aggelos, et al.
Published: (2026)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
by: Sprague, Zayne, et al.
Published: (2024)

CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025)

Divide-and-Conquer CoT: RL for Reducing Latency via Parallel Reasoning
by: Mahankali, Arvind, et al.
Published: (2026)

Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection
by: Malacarne, Sara, et al.
Published: (2026)

Unveiling and Causalizing CoT: A Causal Pespective
by: Fu, Jiarun, et al.
Published: (2025)

Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
by: Wang, Yilong, et al.
Published: (2025)

Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
by: Elgabry, Menna, et al.
Published: (2025)

Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography
by: Oladunni, Timothy, et al.
Published: (2026)

Jamming Smarter, Not Harder: Exploiting O-RAN Y1 RAN Analytics for Efficient Interference
by: Ganiyu, Abiodun, et al.
Published: (2025)

Training on Documents About Monitoring Leads to CoT Obfuscation
by: Haskins, Reilly, et al.
Published: (2026)

Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL
by: Tong, Xuhan, et al.
Published: (2026)

Self-Verifying Reflection Helps Transformers with CoT Reasoning
by: Yu, Zhongwei, et al.
Published: (2025)

Meta-CoT: Enhancing Granularity and Generalization in Image Editing
by: Zhang, Shiyi, et al.
Published: (2026)

Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators
by: Mahaut, Matéo, et al.
Published: (2024)

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
by: Fang, Yuanheng, et al.
Published: (2025)

Uncertainty Estimation via Hyperspherical Confidence Mapping
by: Choi, Eunseo, et al.
Published: (2026)

Confidence Estimation via Sequential Likelihood Mixing
by: Kirschner, Johannes, et al.
Published: (2025)

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning
by: Saparkhan, Raman, et al.
Published: (2026)

LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
by: Zhang, Yuyao, et al.
Published: (2025)

Data Shifts Hurt CoT: A Theoretical Study
by: Yin, Lang, et al.
Published: (2025)

Visual CoT Makes VLMs Smarter but More Fragile
by: Xu, Chunxue, et al.
Published: (2025)

What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
by: Feng, Yunzhen, et al.
Published: (2025)