Learning from Failures: Heterogeneous Graph Memory for Small Language Model Tool-Using Agents
cs.LG
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- ExpHarness: Model-Agnostic Experience Learning through a Trainable Harness
- MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
- PACE: Two-Timescale Self-Evolution for Small Language Model Agents
- MemGPT: Towards LLMs as Operating Systems
- Gemma 4 Technical Report
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Qwen3 Technical Report
- $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks