🧠 LLMs - nickyfoto · Scour

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

Delineating Knowledge Boundaries for Honest Large Vision-Language Models 🤖LLM

The Context Window Lie: Why Your LLM Remembers Nothing 🪟Context Windows

dev.to·3d·DEV

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation 🤖LLM

Self-Improving Python Scripts with LLMs: My Journey 🤖LLM

dev.to·5d·DEV

Large Language Models Explore by Latent Distilling 🤖LLM

A Survey on LLM-based Conversational User Simulation 🤖LLM

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

Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge 🤖LLM

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora 🤖LLM

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

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models 🤖LLM

Job Skill Extraction via LLM-Centric Multi-Module Framework 🤖LLM

Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning 🤖LLM

StructMem: Structured Memory for Long-Horizon Behavior in LLMs 🤖LLM

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

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective 🤖LLM

BLAST: Benchmarking LLMs with ASP-based Structured Testing 🤖LLM

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training 🤖LLM

Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment 🤖LLM

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