All Articles
16530 articles total
Soft-TransFormers for Continual Learning
Soft-TransFormers (Soft-TF) is a continual learning framework that uses soft subnetworks to prevent forgetting while adapting pre-trained Transformers.
A Self-Supervised Framework for Space Object Behaviour Characterisation
A self-supervised framework using a Perceiver-VAE architecture for characterizing space object behavior and detecting anomalies in orbital populations.
Parameter-Efficient Continual Fine-Tuning: A Survey
A survey on Parameter-Efficient Continual Fine-Tuning (PECFT), exploring the synergy between continual learning and PEFT to combat catastrophic forgetting.
Museum of the Human Web
A showcase of the 'Museum of the Human Web', reflecting on the early internet and its human-centric design.
Anthropomorphism in Children's Interactions with LLM Chatbots
An exploration of how children anthropomorphize their interactions with LLM chatbots.
Designing a 4D Digital Archive for Ikebana
A project detailing the design of a 4D digital archive specifically for the art of Ikebana.
Fluid Reasoning Representations
Introduces Fluid Reasoning Representations (FRRs) to explain how LLMs organize concepts during extended test-time thinking.
LLM-Grounded Explainable AI for Supply Chain Risk Early Warning via Temporal Graph Attention Networks
Proposes a framework using Temporal Graph Attention Networks and LLMs for explainable supply chain risk early warning systems.
FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking
Presents FinRAG-12B, a domain-specific LLM for banking that optimizes for grounding, citation, and calibrated refusal.
Frontier LLM-based agents can overcome the ontology curation bottleneck for natural phenotypes
Demonstrates that frontier LLM agents can perform phenotype annotation at a level comparable to human biocurators.
AgentJet: A Distributed Swarm Training Framework for Agentic Reinforcement Learning
Introduces AgentJet, a distributed swarm training framework for Agentic Reinforcement Learning with a decoupled multi-node architecture.
Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery
A comprehensive survey on AI for mathematical reasoning, covering language models, neuro-symbolic systems, and verified discovery.
The Theory of Mind Utility: Formal Specification of a Mentalizing Mechanism
Formalizes the Theory of Mind Utility (ToM-U) to specify how agents infer others' beliefs through Local Epistemic World Models.
Show HN: Cactus Hybrid: We taught Gemma 4 to know when it's wrong
A project called Cactus Hybrid demonstrates teaching Gemma 4 to recognize when its own outputs are incorrect.
How we made our LeRobot video reader up to 15× faster
The developers of LeRobot discuss technical optimizations that improved their video reader's performance by up to 15x.
Fretboard Memorisation with Modular Arithmetic
An exploration of using modular arithmetic to assist in fretboard memorization for musical instruments.
Show HN: ValuePair – a friendship app that cares about values first
Introduction of ValuePair, a social application designed to prioritize shared values in friendship matching.
FormGym: Doing Paperwork with Agents
The FormGym benchmark and FieldFinder tool address the difficulty of automated form-filling in image-only domains for AI agents.
Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents
CogniGUI introduces a cognitive framework for GUI agents using dual-process theory and the ScreenSeek benchmark for better adaptability.
Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics
Assistax is a GPU-accelerated reinforcement learning benchmark for assistive robotics built on JAX and MuJoCo-MJX for high-throughput simulation.