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Scoured 8349 posts in 17.2 ms
Navigating the Prompt Space: Improving LLM Classification of Social Science Texts Through Prompt Engineering  💬NLP
arxiv.org·6d·
I Gave 5 Frontier Models the Same Email Thread. Here's What They Missed.  ✍️Prompt Engineering
hackernoon.com·2d·
Practical Context Engineering Using LangChain for AI Developers ( A Comprehensive Guide)  ✍️Prompt Engineering
pub.towardsai.net
·3d·
LLMs Are Still Just Predicting the Next Word. So Why Are They So Good Now?  🤖LLM Inference
medium.com·3d·Hacker News, Hacker News·
A Regression Framework for Understanding Prompt Component Impact on LLM Performance  ✍️Prompt Engineering
arxiv.org·2d·
Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms  🤖LLM Inference
arxiv.org·13h·
Compressing Code Context for LLM-based Issue Resolution  🧠LLM
arxiv.org·2d·
Logging Like Humans for LLMs: Rethinking Logging via Execution and Runtime Feedback  📡Observability
arxiv.org·1d·
LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications  🤖LLM Inference
arxiv.org·2d·
Automating Domain-Driven Design: Experience with a Prompting Framework  ✍️Prompt Engineering
arxiv.org·3d·
Evaluating LLMs for Answering Student Questions in Introductory Programming Courses  💬LLMs
arxiv.org·2d·
Structured Intent as a Protocol-Like Communication Layer: Cross-Model Robustness, Framework Comparison, and the Weak-Model Compensation Effect  ✍️Prompt Engineering
arxiv.org·1d·
To Write or to Automate Linguistic Prompts, That Is the Question  ✍️Prompt Engineering
arxiv.org·6d·
Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation  💬NLP
arxiv.org·1d·
UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy  👁️Multimodal AI
arxiv.org·6d·
Developing Adaptive Context Compression Techniques for Large Language Models (LLMs) in Long-Running Interactions  💬LLMs
arxiv.org·1d·
Large Language Models for Software Testing Education: an Experience Report  🤖Large Language Models
arxiv.org·3d·
ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation  ⚡Code Generation
arxiv.org·3d·
Search-Induced Issues in Web-Augmented LLM Code Generation: Detecting and Repairing Error-Inducing Pages  🤖Large Language Models
arxiv.org·3d·
When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models  🤖Large Language Models
arxiv.org·3d·

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