⚙ Context engineering - laurynas · Scour

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts 🔍AI Interpretability

Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis 🔍AI Interpretability

Executable Agentic Memory for GUI Agent 🤖agents

EndPrompt: Efficient Long-Context Extension via Terminal Anchoring 🎯Reranking

Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems 🕷️GraphRAG

Effective Context in Transformers: An Analysis of Fragmentation and Tokenization 🌫Diffusion language models

When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory 🧪Property-based Testing

Learning Transferable Latent User Preferences for Human-Aligned Decision Making 🌫Diffusion language models

When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction 🔍AI Interpretability

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory 🔍AI Interpretability

RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents 🔍AI Interpretability

Context-Gated Associative Retrieval: From Theory to Transformers 🎯Reranking

Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism 📐Theorem Proving

Derivation Prompting: A Logic-Based Method for Improving Retrieval-Augmented Generation ✨UI generation

The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents 🤝Multi-Agent Systems

Active Learners as Efficient PRP Rerankers 🎯Reranking

Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety ✨UI generation

Group of Skills: Group-Structured Skill Retrieval for Agent Skill Libraries 🤝Multi-Agent Systems

PRISM-X: Experiments on Personalised Fine-Tuning with Human and Simulated Users 👆human-computer interaction

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design 🎮Reinforcement Learning

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