Social Learning through Interactions with Other Agents: A Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hillier, Dylan, Tan, Cheston, Jiang, Jing
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence I.2.7; I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
by: Vegner, Ivan, et al.
Published: (2025)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

RWKV-7 "Goose" with Expressive Dynamic State Evolution
by: Peng, Bo, et al.
Published: (2025)

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval
by: Bayarri-Planas, Jordi, et al.
Published: (2024)

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
by: Wu, Dekun, et al.
Published: (2023)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

ACCORD: Closing the Commonsense Measurability Gap
by: Roewer-Després, François, et al.
Published: (2024)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
by: Goldstein, Daniel, et al.
Published: (2026)

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
by: Saito, Kei
Published: (2025)

CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
by: Saito, Kei
Published: (2026)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
by: Ackermann, Richard, et al.
Published: (2025)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)

Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
by: Kaplanski, Pawel
Published: (2026)

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

Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition
by: Goyal, Prasoon, et al.
Published: (2026)

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)

Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
by: Jiang, Weipeng, et al.
Published: (2025)

Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets
by: Guinard, Sebastien
Published: (2026)

KnowThyself: An Agentic Assistant for LLM Interpretability
by: Prasai, Suraj, et al.
Published: (2025)

Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
by: Rosales, Rafael, et al.
Published: (2025)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
by: Venkatasubramanian, Venkat, et al.
Published: (2024)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
by: Sarkar, Nilesh, et al.
Published: (2026)

Correcting Gradient-Based Circuit Localization via Interaction-Aware Backpropagation
by: Edin, Joakim, et al.
Published: (2025)

What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs
by: Saqur, Raeid
Published: (2024)

The Curious Case of In-Training Compression of State Space Models
by: Chahine, Makram, et al.
Published: (2025)

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
by: Wang, Haochuan Kevin, et al.
Published: (2026)

Super Tiny Language Models
by: Hillier, Dylan, et al.
Published: (2024)

A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
by: Leoveanu-Condrei, Claudiu
Published: (2025)

Forecasting Anonymized Electricity Load Profiles
by: Fernandez, Joaquin Delgado, et al.
Published: (2025)

Community-Informed AI Models for Police Accountability
by: Graham, Benjamin A. T., et al.
Published: (2024)

Generative midtended cognition and Artificial Intelligence. Thinging with thinging things
by: Barandiaran, Xabier E., et al.
Published: (2024)

Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
by: Taskooh, Hamidreza Kazemi, et al.
Published: (2026)

Pioneer Agent: Continual Improvement of Small Language Models in Production
by: Atreja, Dhruv, et al.
Published: (2026)

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration
by: Deng, Minghang, et al.
Published: (2025)