✍️ Prompt Engineering - tamaulipas · Scour

🧠LLMs arxiv.org·

Structural Role Injection in Handlebars-Templated LLM Prompts: Triple-Brace Interpolation, Delimiter Family, and the Limits of HTML Auto-Escaping

Covered by 何夕2077的个人站

🧠LLMs arxiv.org·

Combining Retrieval-Augmented Text Generation with LLMs for Reading Content Recommendations

🧠LLMs arxiv.org·

CoRA: Confidence-Rationale Alignment for Reliable Chain-of-Thought Reasoning

🔗LLM Orchestration arxiv.org·

Efficiently Representing Algorithms With Chain-of-Thought Transformers

🧠LLMs arxiv.org·

Adapting Reinforcement Learning with Chain-of-Thought Supervision for Explainable Detection of Hateful and Propagandistic Memes

📡Observability arxiv.org·

EdgeZSAD: Practical Zero-Shot Anomaly Detection on Edge Devices

🛠️MLOps arxiv.org·

VERITAS: Verifier-Guided Proof Search for Zero-Shot Formal Theorem Proving

🧠LLMs arxiv.org·

Universal Image Restoration via Internalized Chain-of-Thought Reasoning

🛠️MLOps arxiv.org·

MVEB: Massive Video Embedding Benchmark

🧠LLMs arxiv.org·

Domain-Guided Prompting of the Segment Anything Model for Seismic Interpretation: The Role of Attributes, Visualization, and Hybrid Prompts

🧠LLMs arxiv.org·

ArtNet: A JEPA-Like Articulatory Predictive Framework for Robust Zero-Shot Phoneme Recognition

Less-relevant results

🧠LLMs arxiv.org·

Mind Companion: An Embodied Conversational Agent for Process-Based Psychotherapy

🧠LLMs arxiv.org·

What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis

🧠LLMs arxiv.org·

Frame-Conditioned Moral Computation in LLaMA 3.1-8B-Instruct: A Mechanistic Interpretability Audit of Ethical Reasoning

🛠️MLOps arxiv.org·

Theorem-Grounded Execution Ontologies for Interpretable Machine Reasoning

🧠LLMs arxiv.org·

Tyler: Typed Latent Reasoning for Language Models -- When to Think, What to Compute, and How Much to Allocate

📚RAG arxiv.org·

Decoding while Adapting: Zero-Shot Online Speaker Adaptation via Audio-Textual Prompts for Elderly Speech Recognition

🧠LLMs arxiv.org·

OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing

🛠️MLOps arxiv.org·

When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting

🧠LLMs arxiv.org·

UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbeing Analytics

No more posts from tamaulipas's subscribed feeds.

Scour all 25,394 feeds Learn more about Feeds

Sign up or log in to see more results

Log in to enable infinite scrolling