Image de couverture de livre

Improving Consistency in Large Language Models through Chain of Guidance

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Raj, Harsh, Gupta, Vipul, Rosati, Domenic, Majumdar, Subhabrata
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language I.2.6; I.5.1
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
par: Reddy, Sandeep, et autres
Publié: (2025)

Efficient Strategy for Improving Large Language Model (LLM) Capabilities
par: Gutiérrez, Julián Camilo Velandia
Publié: (2025)

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
par: Katakam, Raj Kiran Gupta
Publié: (2026)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
par: Gonzalez, Alberto Andres Valdes
Publié: (2026)

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
par: Yocam, Eric, et autres
Publié: (2026)

Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages
par: Schneider, Felix, et autres
Publié: (2026)

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
par: Sharma, Anika, et autres
Publié: (2025)

When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD
par: Mandal, Paul K.
Publié: (2025)

H-Model: Dynamic Neural Architectures for Adaptive Processing
par: Hospodarchuk, Dmytro
Publié: (2025)

Contrastive Representation Modeling for Anomaly Detection
par: Lunardi, Willian T., et autres
Publié: (2025)

Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
par: Larsen, Olav Finne Praesteng, et autres
Publié: (2025)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
par: Wang, Shaokuan, et autres
Publié: (2026)

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
par: Rottenwalter, Georg, et autres
Publié: (2025)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
par: Gu, Enhao, et autres
Publié: (2025)

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning
par: Ji, Binbin, et autres
Publié: (2025)

The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations
par: Bird, George
Publié: (2025)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies
par: Lachapelle, Sébastien, et autres
Publié: (2024)

Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
par: Dutta, Utsav, et autres
Publié: (2026)

Mamba base PKD for efficient knowledge compression
par: Medina, José, et autres
Publié: (2025)

Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation
par: Steele, Brady
Publié: (2026)

ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
par: Yong, Shim Soon
Publié: (2025)

Feature emergence via margin maximization: case studies in algebraic tasks
par: Morwani, Depen, et autres
Publié: (2023)

Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
par: Goel, Astitva, et autres
Publié: (2026)

SATORIS-N: Spectral Analysis based Traffic Observation Recovery via Informed Subspaces and Nuclear-norm minimization
par: Mohanty, Sampad, et autres
Publié: (2026)

AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
par: Belucci, Bruno, et autres
Publié: (2025)

Entropy Aware Message Passing in Graph Neural Networks
par: Nazari, Philipp, et autres
Publié: (2024)

Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
par: Herde, Marek, et autres
Publié: (2024)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
par: Hung, Wei, et autres
Publié: (2025)

Structured Contrastive Learning for Interpretable Latent Representations
par: Shen, Zhengyang, et autres
Publié: (2025)

K-Way Energy Probes for Metacognition Reduce to Softmax in Discriminative Predictive Coding Networks
par: Cacioli, Jon-Paul
Publié: (2026)

Thinker: Learning to Think Fast and Slow
par: Chung, Stephen, et autres
Publié: (2025)

Combining Euclidean Alignment and Data Augmentation for BCI decoding
par: Rodrigues, Gustavo H., et autres
Publié: (2024)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
par: Semenov, Andrei, et autres
Publié: (2024)

Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
par: Nguyen, Duc T., et autres
Publié: (2026)

SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation
par: Liu, Xinya, et autres
Publié: (2025)

Is Cambodia the World's Largest Cashew Producer?
par: Chaya, Veasna, et autres
Publié: (2024)

ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model
par: Pospieszny, Przemek, et autres
Publié: (2025)

Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
par: Rosenhoover, Marshall, et autres
Publié: (2025)

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
par: Sun, Yuhui, et autres
Publié: (2025)

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
par: Priezzhev, I. I., et autres
Publié: (2025)