💬 LLMs - reg · Scour

LLM-Guided Issue Generation from Uncovered Code Segments ✍️Prompt Engineering

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation ✨Generative AI

TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models ✨Generative AI

Evaluating Large Language Models on Computer Science University Exams in Data Structures ✨Generative AI

Factorized Latent Reasoning for LLM-based Recommendation ✨Generative AI

Doing More With Less: Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling ✨Generative AI

Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens ✨Generative AI

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities ✨Generative AI

CoQuant: Joint Weight-Activation Subspace Projection for Mixed-Precision LLMs ✨Generative AI

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors ✨Generative AI

Structural Generalization on SLOG without Hand-Written Rules ✨Generative AI

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study ✨Generative AI

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models ✨Generative AI

A Systematic Approach for Large Language Models Debugging ✨Generative AI

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models ✨Generative AI

Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference ✨Generative AI

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive ✍️Prompt Engineering

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis 👨‍💻Coding Assistants

Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge ✨Generative AI

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora ✨Generative AI

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