:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Parekh, Swapnil
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	https://arxiv.org/abs/2603.00523
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning
par: Parekh, Swapnil
Publié: (2026)

Thinking Wrong in Silence: Backdoor Attacks on Continuous Latent Reasoning
par: Parekh, Swapnil
Publié: (2026)

Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability
par: Naik, Ninad
Publié: (2024)

When Chain-of-Thought Fails, the Solution Hides in the Hidden States
par: Mehrafarin, Houman, et autres
Publié: (2026)

Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
par: Dey, Prasenjit, et autres
Publié: (2025)

DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
par: Parekh, Tanmay, et autres
Publié: (2025)

Measuring Uncertainty in Transformer Circuits with Effective Information Consistency
par: Krasnovsky, Anatoly A.
Publié: (2025)

Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
par: Bouchard, Dylan, et autres
Publié: (2025)

Dynamic Strategy Planning for Efficient Question Answering with Large Language Models
par: Parekh, Tanmay, et autres
Publié: (2024)

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios
par: Dang, Yunkai, et autres
Publié: (2024)

ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
par: Chen, Justin Chih-Yao, et autres
Publié: (2023)

Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
par: Wang, Xu, et autres
Publié: (2025)

The Role of Ambiguity in Error Prediction via Uncertainty Quantification
par: Staliūnaitė, Ieva Raminta, et autres
Publié: (2026)

CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
par: Pan, Teng, et autres
Publié: (2026)

Ensembles of Low-Rank Expert Adapters
par: Li, Yinghao, et autres
Publié: (2025)

Ensemble Distillation for Unsupervised Constituency Parsing
par: Shayegh, Behzad, et autres
Publié: (2023)

Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
par: Grewal, Yashvir S., et autres
Publié: (2024)

Transformer Circuit Faithfulness Metrics are not Robust
par: Miller, Joseph, et autres
Publié: (2024)

Ensembling Language Models with Sequential Monte Carlo
par: Chan, Robin Shing Moon, et autres
Publié: (2026)

Enhancing Annotated Bibliography Generation with LLM Ensembles
par: Bermejo, Sergio
Publié: (2024)

Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
par: Pan, Shuaidong, et autres
Publié: (2025)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
par: Liu, Liangxin, et autres
Publié: (2024)

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
par: Krishnan, Ranganath, et autres
Publié: (2024)

Adaptive Instruction Composition for Automated LLM Red-Teaming
par: Zymet, Jesse, et autres
Publié: (2026)

Sparse Attention Decomposition Applied to Circuit Tracing
par: Franco, Gabriel, et autres
Publié: (2024)

Circuit Insights: Towards Interpretability Beyond Activations
par: Golimblevskaia, Elena, et autres
Publié: (2025)

MultiSiam: A Multiple Input Siamese Network For Social Media Text Classification And Duplicate Text Detection
par: Bhoi, Sudhanshu, et autres
Publié: (2024)

The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity
par: Chen, Yifang, et autres
Publié: (2024)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
par: Fadeeva, Ekaterina, et autres
Publié: (2024)

ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models
par: Li, Mingda, et autres
Publié: (2025)

AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals
par: Nguyen, Duy, et autres
Publié: (2026)

Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control
par: Wang, Xinyu, et autres
Publié: (2026)

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling
par: Huang, Hengguan, et autres
Publié: (2024)

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
par: Hu, Zhiyuan, et autres
Publié: (2024)

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance
par: Cohen, Seffi, et autres
Publié: (2025)

Domain Gating Ensemble Networks for AI-Generated Text Detection
par: Tripathi, Arihant, et autres
Publié: (2025)

Learning to Trust the Crowd: A Multi-Model Consensus Reasoning Engine for Large Language Models
par: Kallem, Pranav
Publié: (2026)

TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
par: Wang, Yinuo, et autres
Publié: (2026)

Text-to-Stage: Spatial Layouts from Long-form Narratives
par: Hernandez, Jefferson, et autres
Publié: (2026)

On Uncertainty In Natural Language Processing
par: Ulmer, Dennis
Publié: (2024)