Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Earnestly using Claude to create a shared drive hierarchy and manual maintenance plan = LOL

On a less serious (but perhaps profound?) note: Some guys I know recently decided to use AI for the first time in their lives, while sett...

Reddit - Artificial Intelligence · 1 min ·
OpenAI now lets teams make custom bots that can do work on their own | The Verge
Llms

OpenAI now lets teams make custom bots that can do work on their own | The Verge

OpenAI is bringing “workspace” AI agents to users of its Business, Enterprise, Edu, and Teachers plans that can perform business tasks in...

The Verge - AI · 4 min ·
Llms

My Unsupervised Compliance Layer Project

A bit of context, my work has been mostly around building agentic pipelines. I really love the craft. My latest side project was a delibe...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.03555] Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations
Llms

[2603.03555] Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations

Abstract page for arXiv paper 2603.03555: Molt Dynamics: Emergent Social Phenomena in Autonomous AI Agent Populations

arXiv - AI · 4 min ·
[2603.03543] Tucano 2 Cool: Better Open Source LLMs for Portuguese
Llms

[2603.03543] Tucano 2 Cool: Better Open Source LLMs for Portuguese

Abstract page for arXiv paper 2603.03543: Tucano 2 Cool: Better Open Source LLMs for Portuguese

arXiv - AI · 4 min ·
[2603.03541] RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
Llms

[2603.03541] RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

Abstract page for arXiv paper 2603.03541: RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering

arXiv - AI · 3 min ·
[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
Llms

[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

Abstract page for arXiv paper 2603.03536: SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

arXiv - AI · 3 min ·
[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
Llms

[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

Abstract page for arXiv paper 2603.03946: Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

arXiv - Machine Learning · 4 min ·
[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks
Llms

[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

Abstract page for arXiv paper 2603.03512: Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

arXiv - AI · 4 min ·
[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi
Llms

[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

Abstract page for arXiv paper 2603.03508: Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

arXiv - AI · 3 min ·
[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior
Llms

[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior

Abstract page for arXiv paper 2603.03805: Relational In-Context Learning via Synthetic Pre-training with Structural Prior

arXiv - AI · 3 min ·
[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers
Llms

[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers

Abstract page for arXiv paper 2603.03417: Parallel Test-Time Scaling with Multi-Sequence Verifiers

arXiv - AI · 4 min ·
[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
Llms

[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

Abstract page for arXiv paper 2603.03415: Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

arXiv - AI · 4 min ·
[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Llms

[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

Abstract page for arXiv paper 2603.03756: MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Ba...

arXiv - Machine Learning · 3 min ·
[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation
Llms

[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

Abstract page for arXiv paper 2603.03410: On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

arXiv - AI · 4 min ·
[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Llms

[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

Abstract page for arXiv paper 2603.03379: MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

arXiv - AI · 4 min ·
[2603.03612] Why Are Linear RNNs More Parallelizable?
Llms

[2603.03612] Why Are Linear RNNs More Parallelizable?

Abstract page for arXiv paper 2603.03612: Why Are Linear RNNs More Parallelizable?

arXiv - Machine Learning · 4 min ·
[2603.03371] Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs
Llms

[2603.03371] Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs

Abstract page for arXiv paper 2603.03371: Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs

arXiv - AI · 4 min ·
[2603.03597] NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
Llms

[2603.03597] NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

Abstract page for arXiv paper 2603.03597: NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

arXiv - Machine Learning · 3 min ·
[2603.03538] Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs
Llms

[2603.03538] Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs

Abstract page for arXiv paper 2603.03538: Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs

arXiv - Machine Learning · 4 min ·
[2603.03535] Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts
Llms

[2603.03535] Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

Abstract page for arXiv paper 2603.03535: Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

arXiv - Machine Learning · 3 min ·
[2603.03352] Perfect score on IPhO 2025 theory by Gemini agent
Llms

[2603.03352] Perfect score on IPhO 2025 theory by Gemini agent

Abstract page for arXiv paper 2603.03352: Perfect score on IPhO 2025 theory by Gemini agent

arXiv - AI · 3 min ·
[2603.03527] Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis
Llms

[2603.03527] Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis

Abstract page for arXiv paper 2603.03527: Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis

arXiv - Machine Learning · 4 min ·
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