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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 ·
Machine Learning

[D] Could really use some guidance . I'm a 2nd year Data Science UG Student

I'm currently finishing up my second year of a three year Bachelor of Data Science degree. I've got the basics down quite well, linear re...

Reddit - Machine Learning · 1 min ·
Machine Learning

[P] Create datasets from TikTok videos

For ML experiments and RAG projects: Tikkocampus converts creator timelines into timestamped, searchable segments and then use it to perf...

Reddit - Machine Learning · 1 min ·

All Content

[2603.23231] PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
Llms

[2603.23231] PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

Abstract page for arXiv paper 2603.23231: PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task E...

arXiv - AI · 4 min ·
[2603.22429] Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization
Nlp

[2603.22429] Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization

Abstract page for arXiv paper 2603.22429: Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coeffici...

arXiv - Machine Learning · 4 min ·
[2603.23004] Can Large Language Models Reason and Optimize Under Constraints?
Llms

[2603.23004] Can Large Language Models Reason and Optimize Under Constraints?

Abstract page for arXiv paper 2603.23004: Can Large Language Models Reason and Optimize Under Constraints?

arXiv - AI · 3 min ·
[2603.22375] Three Creates All: You Only Sample 3 Steps
Machine Learning

[2603.22375] Three Creates All: You Only Sample 3 Steps

Abstract page for arXiv paper 2603.22375: Three Creates All: You Only Sample 3 Steps

arXiv - AI · 3 min ·
[2603.22943] PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference
Machine Learning

[2603.22943] PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference

Abstract page for arXiv paper 2603.22943: PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference

arXiv - AI · 3 min ·
[2603.22942] Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning
Llms

[2603.22942] Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

Abstract page for arXiv paper 2603.22942: Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

arXiv - AI · 3 min ·
[2603.22934] ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning
Llms

[2603.22934] ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning

Abstract page for arXiv paper 2603.22934: ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning

arXiv - AI · 4 min ·
[2603.22721] HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment
Machine Learning

[2603.22721] HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment

Abstract page for arXiv paper 2603.22721: HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment

arXiv - AI · 4 min ·
[2603.22633] Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
Nlp

[2603.22633] Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

Abstract page for arXiv paper 2603.22633: Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature

arXiv - AI · 4 min ·
[2603.22404] Computational Arbitrage in AI Model Markets
Machine Learning

[2603.22404] Computational Arbitrage in AI Model Markets

Abstract page for arXiv paper 2603.22404: Computational Arbitrage in AI Model Markets

arXiv - AI · 4 min ·
[2603.22386] From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
Llms

[2603.22386] From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

Abstract page for arXiv paper 2603.22386: From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

arXiv - AI · 4 min ·
[2603.22305] CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News
Llms

[2603.22305] CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

Abstract page for arXiv paper 2603.22305: CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset ...

arXiv - AI · 4 min ·
[2603.22304] Mitigating Premature Discretization with Progressive Quantization for Robust Vector Tokenization
Llms

[2603.22304] Mitigating Premature Discretization with Progressive Quantization for Robust Vector Tokenization

Abstract page for arXiv paper 2603.22304: Mitigating Premature Discretization with Progressive Quantization for Robust Vector Tokenization

arXiv - Machine Learning · 3 min ·
[2603.22294] Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
Llms

[2603.22294] Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks

Abstract page for arXiv paper 2603.22294: Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks

arXiv - AI · 3 min ·
This scientist rewarmed and studied pieces of his friend’s cryopreserved brain | MIT Technology Review
Nlp

This scientist rewarmed and studied pieces of his friend’s cryopreserved brain | MIT Technology Review

A gerontologist wanted his preserved brain to be reanimated. Cryopreservation is more likely to be used on organs for transplantation.

MIT Technology Review - AI · 9 min ·
Llms

[For Hire] Full-Stack AI/ML Engineer | Agentic AI · RAG · Computer Vision · Voice AI · LangGraph · FastAPI | Remote

Hey everyone, I'm a Full-Stack AI/ML Engineer with 3+ years of production experience across Agentic AI, RAG pipelines, Computer Vision, a...

Reddit - ML Jobs · 1 min ·
Llms

I mapped how Reddit actually talks about AI safety: 6,374 posts, 23 clusters, some surprising patterns

I collected Reddit posts between Jan 29 - Mar 1, 2026 using 40 keyword-based search terms ("AI safety", "AI alignment", "EU AI Act", "AI ...

Reddit - Artificial Intelligence · 1 min ·
Nlp

What if your AI agent could fix its own hallucinations without being told what's wrong?

Every autonomous AI agent has three problems: it contradicts itself, it can't decide, and it says things confidently that aren't true. Cu...

Reddit - Artificial Intelligence · 1 min ·
Mirage raises $75M to continue building models for its AI video editing app Captions | TechCrunch
Machine Learning

Mirage raises $75M to continue building models for its AI video editing app Captions | TechCrunch

Mirage, the maker of video editing app Captions, has raised $75 million in growth financing from General Catalyst's Customer Value Fund (...

TechCrunch - AI · 5 min ·
Llms

Open Source Alternative to NotebookLM

For those of you who aren't familiar with SurfSense, SurfSense is an open-source alternative to NotebookLM for teams. It connects any LLM...

Reddit - Artificial Intelligence · 1 min ·
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