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VulcanAMI Might Help

I open-sourced a large AI platform I built solo, working 16 hours a day, at my kitchen table, fueled by an inordinate degree of compulsio...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[P] I tested Meta’s brain-response model on posts. It predicted the Elon one almost perfectly.

I built an experimental UI and visualization layer around Meta’s open brain-response model just to see whether this stuff actually works ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[R] First open-source implementation of Hebbian fast-weight write-back for the BDH architecture

The BDH (Dragon Hatchling) paper (arXiv:2509.26507) describes a Hebbian synaptic plasticity mechanism where model weights update during i...

Reddit - Machine Learning · 1 min ·

All Content

[2603.20969] Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge
Llms

[2603.20969] Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning over Pretraining Knowledge

Abstract page for arXiv paper 2603.20969: Understanding Contextual Recall in Transformers: How Finetuning Enables In-Context Reasoning ov...

arXiv - Machine Learning · 4 min ·
[2603.20921] Discriminative Representation Learning for Clinical Prediction
Llms

[2603.20921] Discriminative Representation Learning for Clinical Prediction

Abstract page for arXiv paper 2603.20921: Discriminative Representation Learning for Clinical Prediction

arXiv - Machine Learning · 3 min ·
[2603.20873] Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
Machine Learning

[2603.20873] Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation

Abstract page for arXiv paper 2603.20873: Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation

arXiv - Machine Learning · 3 min ·
[2603.20825] Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP
Llms

[2603.20825] Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP

Abstract page for arXiv paper 2603.20825: Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP

arXiv - Machine Learning · 4 min ·
[2603.14635] Compute Allocation for Reasoning-Intensive Retrieval Agents
Llms

[2603.14635] Compute Allocation for Reasoning-Intensive Retrieval Agents

Abstract page for arXiv paper 2603.14635: Compute Allocation for Reasoning-Intensive Retrieval Agents

arXiv - AI · 3 min ·
[2603.14093] Not All Latent Spaces Are Flat: Hyperbolic Concept Control
Machine Learning

[2603.14093] Not All Latent Spaces Are Flat: Hyperbolic Concept Control

Abstract page for arXiv paper 2603.14093: Not All Latent Spaces Are Flat: Hyperbolic Concept Control

arXiv - Machine Learning · 3 min ·
[2603.13406] Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection
Llms

[2603.13406] Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection

Abstract page for arXiv paper 2603.13406: Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for A...

arXiv - AI · 4 min ·
[2603.13275] PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation
Llms

[2603.13275] PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation

Abstract page for arXiv paper 2603.13275: PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Aver...

arXiv - Machine Learning · 4 min ·
[2603.12725] Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
Machine Learning

[2603.12725] Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction

Abstract page for arXiv paper 2603.12725: Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction

arXiv - Machine Learning · 3 min ·
[2602.11549] Native Reasoning Models: Training Language Models to Reason on Unverifiable Data
Llms

[2602.11549] Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

Abstract page for arXiv paper 2602.11549: Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

arXiv - Machine Learning · 4 min ·
[2602.05146] Cross-talk based multi-task learning for fault classification of machine system influenced by multiple variables
Nlp

[2602.05146] Cross-talk based multi-task learning for fault classification of machine system influenced by multiple variables

Abstract page for arXiv paper 2602.05146: Cross-talk based multi-task learning for fault classification of machine system influenced by m...

arXiv - Machine Learning · 4 min ·
[2512.23743] Hybrid-Code v2: Zero-Hallucination Clinical ICD-10 Coding via Neuro-Symbolic Verification and Automated Knowledge Base Expansion
Nlp

[2512.23743] Hybrid-Code v2: Zero-Hallucination Clinical ICD-10 Coding via Neuro-Symbolic Verification and Automated Knowledge Base Expansion

Abstract page for arXiv paper 2512.23743: Hybrid-Code v2: Zero-Hallucination Clinical ICD-10 Coding via Neuro-Symbolic Verification and A...

arXiv - AI · 4 min ·
[2512.16975] InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression
Nlp

[2512.16975] InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression

Abstract page for arXiv paper 2512.16975: InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression

arXiv - AI · 4 min ·
[2512.13157] Intrinsic Image Fusion for Multi-View 3D Material Reconstruction
Generative Ai

[2512.13157] Intrinsic Image Fusion for Multi-View 3D Material Reconstruction

Abstract page for arXiv paper 2512.13157: Intrinsic Image Fusion for Multi-View 3D Material Reconstruction

arXiv - AI · 3 min ·
[2512.05959] M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG
Llms

[2512.05959] M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG

Abstract page for arXiv paper 2512.05959: M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG

arXiv - AI · 4 min ·
[2511.20011] Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments
Machine Learning

[2511.20011] Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments

Abstract page for arXiv paper 2511.20011: Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environm...

arXiv - AI · 4 min ·
[2510.12060] Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
Machine Learning

[2510.12060] Your VAR Model is Secretly an Efficient and Explainable Generative Classifier

Abstract page for arXiv paper 2510.12060: Your VAR Model is Secretly an Efficient and Explainable Generative Classifier

arXiv - Machine Learning · 4 min ·
[2510.06638] StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
Llms

[2510.06638] StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering

Abstract page for arXiv paper 2510.06638: StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering

arXiv - AI · 4 min ·
[2508.05694] DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models
Llms

[2508.05694] DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models

Abstract page for arXiv paper 2508.05694: DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Langu...

arXiv - AI · 4 min ·
[2507.13340] Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
Machine Learning

[2507.13340] Latent Policy Steering with Embodiment-Agnostic Pretrained World Models

Abstract page for arXiv paper 2507.13340: Latent Policy Steering with Embodiment-Agnostic Pretrained World Models

arXiv - Machine Learning · 4 min ·
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