🧠 LLMs - ashiqabdulkhader · Scour

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora ⚙️MLOps

Extracting books from production language models 🗄️Vector Databases

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities 📡Edge Computing

ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring 🤖AI

Shared Lexical Task Representations Explain Behavioral Variability In LLMs ⚙️MLOps

Evolve: A Persistent Knowledge Lifecycle for Small Language Models 🗄️Vector Databases

A Survey on LLM-based Conversational User Simulation 🎮Reinforcement Learning

Controllable Spoken Dialogue Generation: An LLM-Driven Grading System for K-12 Non-Native English Learners 🤖AI

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive ⚙️MLOps

LayerBoost: Layer-Aware Attention Reduction for Efficient LLMs ⚙️MLOps

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study ⚙️MLOps

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models 🗄️Vector Databases

How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models 🗄️Vector Databases

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator 🤖AI

From Syntax to Emotion: A Mechanistic Analysis of Emotion Inference in LLMs ⚙️MLOps

StructMem: Structured Memory for Long-Horizon Behavior in LLMs 🎮Reinforcement Learning

Evaluating Temporal Consistency in Multi-Turn Language Models ⚙️MLOps

Evaluation of Automatic Speech Recognition Using Generative Large Language Models ⚙️MLOps

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines ⚙️MLOps

When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models ⚙️MLOps

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