Cover Image

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kirk, James R., Wray, Robert E., Lindes, Peter, Laird, John E.
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Human-Computer Interaction Robotics I.2.6; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Humanizing AI Grading: Student-Centered Insights on Fairness, Trust, Consistency and Transparency
by: Riahi, Bahare, et al.
Published: (2026)

Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
by: Reza, Mohi, et al.
Published: (2025)

Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation
by: Yu, Albert, et al.
Published: (2025)

GrandJury: A Collaborative Machine Learning Model Evaluation Protocol for Dynamic Quality Rubrics
by: Cho, Arthur
Published: (2025)

Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial
by: Santana, Franco, et al.
Published: (2026)

Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Data
by: Khushiyant
Published: (2025)

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning
by: Luijkx, Jelle, et al.
Published: (2025)

Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale
by: Kotecha, Vineet, et al.
Published: (2026)

Reflective Verbal Reward Design for Pluralistic Alignment
by: Blair, Carter, et al.
Published: (2025)

Applying Cognitive Design Patterns to General LLM Agents
by: Wray, Robert E., et al.
Published: (2025)

Think, Act, Learn: A Framework for Autonomous Robotic Agents using Closed-Loop Large Language Models
by: Menon, Anjali R., et al.
Published: (2025)

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
by: Alt, Benjamin, et al.
Published: (2023)

OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
by: Cotti, Luca, et al.
Published: (2025)

Conversation Tree Architecture: A Structured Framework for Context-Aware Multi-Branch LLM Conversations
by: Hemanth, Pranav, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

Towards More Human-like AI Communication: A Review of Emergent Communication Research
by: Brandizzi, Nicolo'
Published: (2023)

COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations
by: Goecks, Vinicius G., et al.
Published: (2024)

Scalable Interactive Machine Learning for Future Command and Control
by: Madison, Anna, et al.
Published: (2024)

Re-Envisioning Command and Control
by: McDowell, Kaleb, et al.
Published: (2024)

Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)

Layer-Aware Embedding Fusion for LLMs in Text Classifications
by: Gwak, Jiho, et al.
Published: (2025)

Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task
by: Ali, Hassan, et al.
Published: (2024)

Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
by: Easley, Eric, et al.
Published: (2026)

Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
by: Resck, Lucas, et al.
Published: (2026)

KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
by: Liu, Zhongxin, et al.
Published: (2025)

MAP: Multi-user Personalization with Collaborative LLM-powered Agents
by: Lee, Christine, et al.
Published: (2025)

Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
by: Heyman, Alex, et al.
Published: (2025)

Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
by: Zhou, Yue, et al.
Published: (2025)

Bi3: A Biplatform, Bicultural, Biperson Dataset for Social Robot Navigation
by: Stratton, Andrew, et al.
Published: (2026)

The Epistemic Suite: A Post-Foundational Diagnostic Methodology for Assessing AI Knowledge Claims
by: Kelly, Matthew
Published: (2025)

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales
by: Salfati, Samuel
Published: (2026)

Automated Bug Triaging using Instruction-Tuned Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)

Merge-Bench: Resolve Merge Conflicts with Large Language Models
by: Schesch, Benedikt, et al.
Published: (2026)

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
by: Atad, Ido Andrew, et al.
Published: (2026)

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models
by: Moghadasi, Mahdi Naser, et al.
Published: (2026)

Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
by: Yao, Huaiyuan, et al.
Published: (2025)

Eliciting Problem Specifications via Large Language Models
by: Wray, Robert E., et al.
Published: (2024)

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
by: Nakamura, Mason, et al.
Published: (2025)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)