Edit Knowledge, Not Just Facts via Multi-Step Reasoning over Background Stories

arXiv:2602.02028 · cs.AI · Submitted 2026-02-02 · Read on arXiv

cs.AI

Submitted: 2026-02-02

Updated: 2026-09-01

Terminology

• Trace — 55× in this paper · explained in 2 episodes
• Adam — 15× in this paper · explained in 2 episodes
• Reasoning Traces — 15× in this paper · explained in 3 episodes
• Distillation — 13× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Multi-hop Reasoning — 7× in this paper · explained in 3 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Malawi Congress Party — 3× in this paper
• World Model — 3× in this paper · explained in 7 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Actor — 2× in this paper · explained in 3 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Liberal Democratic Party — 2× in this paper
• Thinking mode — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Grounding — 1× in this paper · explained in 3 episodes
• Hypernetwork — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Reasoning — 1× in this paper · explained in 2 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• World Health Organization — 1× in this paper

Sources

• Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
• A General Language Assistant as a Laboratory for Alignment
• The Llama 3 Herd of Models
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• OpenAI o1 System Card
• Efficient Knowledge Injection in LLMs via Self-Distillation
• From System 1 to System 2: A Survey of Reasoning Large Language Models
• Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
• Decoupled Weight Decay Regularization
• Learning by Distilling Context
• DeepEdit: Knowledge Editing as Decoding with Constraints
• Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
• Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
• Qwen3 Technical Report
• A Comprehensive Study of Knowledge Editing for Large Language Models
• Modifying Memories in Transformer Models

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection