Imagen de Portada

Learning, Fast and Slow: Towards LLMs That Adapt Continually

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tiwari, Rishabh, Sareen, Kusha, Agrawal, Lakshya A, Gonzalez, Joseph E., Zaharia, Matei, Keutzer, Kurt, Dhillon, Inderjit S, Agarwal, Rishabh, Khatri, Devvrit
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence I.2.6; I.2.7; I.2.8; I.2.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
por: Agrawal, Lakshya A, et al.
Publicado: (2025)

GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
por: Ghandi, Taraneh, et al.
Publicado: (2026)

The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
por: Sairam, S, et al.
Publicado: (2025)

From Next Token Prediction to (STRIPS) World Models
por: Núñez-Molina, Carlos, et al.
Publicado: (2025)

An Explainable Collaborative Dialogue System using a Theory of Mind
por: Cohen, Philip R., et al.
Publicado: (2023)

Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
por: Albiero, Daniel, et al.
Publicado: (2026)

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
por: Núñez-Molina, Carlos, et al.
Publicado: (2023)

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
por: Chua, Jaymari, et al.
Publicado: (2025)

Evo-DKD: Dual-Knowledge Decoding for Autonomous Ontology Evolution in Large Language Models
por: Raman, Vishal, et al.
Publicado: (2025)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
por: Yousaf, Iqra
Publicado: (2024)

Task and Motion Planning in Hierarchical 3D Scene Graphs
por: Ray, Aaron, et al.
Publicado: (2024)

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
por: Tanjim, Md Mehrab, et al.
Publicado: (2026)

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
por: Nolte, Robin, et al.
Publicado: (2025)

Gyan: An Explainable Neuro-Symbolic Language Model
por: Srinivasan, Venkat, et al.
Publicado: (2026)

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
por: Li, Yifei, et al.
Publicado: (2025)

COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
por: Cannizzaro, Ricardo, et al.
Publicado: (2024)

Strong Equivalence in Answer Set Programming with Constraints
por: Cabalar, Pedro, et al.
Publicado: (2025)

Compiling Metric Temporal Answer Set Programming
por: Becker, Arvid, et al.
Publicado: (2025)

Implementing Metric Temporal Answer Set Programming
por: Becker, Arvid, et al.
Publicado: (2026)

When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination
por: Benfeghoul, Martin, et al.
Publicado: (2024)

Thinker: Learning to Think Fast and Slow
por: Chung, Stephen, et al.
Publicado: (2025)

Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling
por: Will, Jonathan, et al.
Publicado: (2025)

CAPE: Corrective Actions from Precondition Errors using Large Language Models
por: Raman, Shreyas Sundara, et al.
Publicado: (2022)

Can AI Assist in Olympiad Coding
por: Ren, Samuel
Publicado: (2025)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
por: Muraleedharan, Anujith, et al.
Publicado: (2025)

Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
por: Endo, Masafumi, et al.
Publicado: (2024)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
por: Darshan, Parth, et al.
Publicado: (2026)

Prescriptive Artificial Intelligence: A Formal Paradigm for Auditing Human Decisions Under Uncertainty
por: Passos, Pedro, et al.
Publicado: (2025)

N-Agent Ad Hoc Teamwork
por: Wang, Caroline, et al.
Publicado: (2024)

Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
por: Pareschi, Remo
Publicado: (2025)

Bi-View Embedding Fusion: A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data
por: Napoli, Rosario, et al.
Publicado: (2025)

BACE: LLM-based Code Generation through Bayesian Anchored Co-Evolution of Code and Test Populations
por: Silva, Kaushitha, et al.
Publicado: (2026)

Reinforcement Learning control strategies for Electric Vehicles and Renewable energy sources Virtual Power Plants
por: Maldonato, Francesco, et al.
Publicado: (2024)

SafeDMPs: Integrating Formal Safety with DMPs for Adaptive HRI
por: Nath, Soumyodipta, et al.
Publicado: (2026)

FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
por: Gu, Yingjie, et al.
Publicado: (2026)

Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
por: Nicolau, Marcio, et al.
Publicado: (2020)

EmbodiedLGR: Integrating Lightweight Graph Representation and Retrieval for Semantic-Spatial Memory in Robotic Agents
por: Riva, Paolo, et al.
Publicado: (2026)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
por: Khandelwal, Vedant, et al.
Publicado: (2024)

Automated Circuit Interpretation via Probe Prompting
por: Birardi, Giuseppe
Publicado: (2025)

Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations
por: Mandarapu, Madhulatha, et al.
Publicado: (2026)