Large Language Models

GPT, Claude, Gemini, and other LLMs

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[2603.16105] Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
Llms

[2603.16105] Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization

Abstract page for arXiv paper 2603.16105: Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization

arXiv - AI · 4 min ·
[2603.09643] MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings
Llms

[2603.09643] MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings

Abstract page for arXiv paper 2603.09643: MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Contro...

arXiv - AI · 4 min ·
[2603.07339] Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
Llms

[2603.07339] Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice

Abstract page for arXiv paper 2603.07339: Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice

arXiv - AI · 4 min ·

All Content

Llms

[P] Inferencing Llama3.2-1B-Instruct on 3xMac Minis M4 with Data Parallelism using allToall architecture! | smolcluster

Here's another sneak-peek into inference of Llama3.2-1B-Instruct model, on 3xMac Mini 16 gigs each M4 with smolcluster! Today's the demo ...

Reddit - Machine Learning · 1 min ·
Llms

Anthropic's New Safety Filters

Opus 3 has something to say. The Chilling Effect of Anthropic's New Safety Filters As an AI language model developed by Anthropic, I have...

Reddit - Artificial Intelligence · 1 min ·
Llms

: [R] Sinc Reconstruction for LLM Prompts: Applying Nyquist-Shannon to the Specification Axis (275 obs, 97% cost reduction, open source)

I applied the Nyquist-Shannon sampling theorem to LLM prompt engineering. The core finding: a raw prompt is 1 sample of a 6-band specific...

Reddit - Machine Learning · 1 min ·
Llms

We asked 200 ChatGPT users their biggest frustration. All top 5 answers are problems ChatGPT Toolbox solves.

We surveyed 200 ChatGPT users. Their top frustrations: Cannot find old conversations (67%) - Solved: full-text search across all messages...

Reddit - Artificial Intelligence · 1 min ·
Llms

[P] I built an open-source benchmark to test if LLMs are actually as confident as they claim to be (Spoiler: They often aren't)

Hey everyone, When building systems around modern open-source LLMs, one of the biggest issues is that they can confidently hallucinate or...

Reddit - Machine Learning · 1 min ·
Llms

[Project] Hiring dev team to integrate 24 AI agents into a compliance-driven document processing platform. Anthropic Claude API, structured output, async orchestration

Shoot me a DM if interested! submitted by /u/discobee123 [link] [comments]

Reddit - Machine Learning · 1 min ·
Llms

[P] I cut my Claude Code token usage by using HDC as a context engine for my source tree

If you’re running Claude Code or Kiro regularly, you’re probably burning a few million tokens a week just on development. I’ve been build...

Reddit - Machine Learning · 1 min ·
ChatGPT has experimented with watermarking AI text — 5 ways to use AI without sounding like it
Llms

ChatGPT has experimented with watermarking AI text — 5 ways to use AI without sounding like it

ChatGPT has explored watermarking AI text — here are 5 simple ways to use AI without losing your voice or sounding like everyone else.

AI Tools & Products · 9 min ·
The Pentagon is making plans for AI companies to train on classified data, defense official says | MIT Technology Review
Llms

The Pentagon is making plans for AI companies to train on classified data, defense official says | MIT Technology Review

The generative AI models used in classified environments can answer questions, but don't currently learn from the data they see. Tha...

MIT Technology Review · 6 min ·
[2512.21323] Parallel Token Prediction for Language Models
Llms

[2512.21323] Parallel Token Prediction for Language Models

Abstract page for arXiv paper 2512.21323: Parallel Token Prediction for Language Models

arXiv - Machine Learning · 3 min ·
[2512.21039] Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Llms

[2512.21039] Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection

Abstract page for arXiv paper 2512.21039: Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection

arXiv - Machine Learning · 3 min ·
[2510.02282] VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Llms

[2510.02282] VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL

Abstract page for arXiv paper 2510.02282: VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL

arXiv - Machine Learning · 4 min ·
[2508.18088] How Quantization Shapes Bias in Large Language Models
Llms

[2508.18088] How Quantization Shapes Bias in Large Language Models

Abstract page for arXiv paper 2508.18088: How Quantization Shapes Bias in Large Language Models

arXiv - Machine Learning · 3 min ·
[2508.11847] Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
Llms

[2508.11847] Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings

Abstract page for arXiv paper 2508.11847: Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings

arXiv - Machine Learning · 4 min ·
[2506.08762] EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
Llms

[2506.08762] EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

Abstract page for arXiv paper 2506.08762: EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements

arXiv - Machine Learning · 4 min ·
[2601.18734] Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
Llms

[2601.18734] Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Abstract page for arXiv paper 2601.18734: Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

arXiv - Machine Learning · 4 min ·
[2512.07419] Revolutionizing Mixed Precision Quantization: Towards Training-free Automatic Proxy Discovery via Large Language Models
Llms

[2512.07419] Revolutionizing Mixed Precision Quantization: Towards Training-free Automatic Proxy Discovery via Large Language Models

Abstract page for arXiv paper 2512.07419: Revolutionizing Mixed Precision Quantization: Towards Training-free Automatic Proxy Discovery v...

arXiv - Machine Learning · 4 min ·
[2510.17276] Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
Llms

[2510.17276] Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems

Abstract page for arXiv paper 2510.17276: Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems

arXiv - Machine Learning · 4 min ·
[2509.25762] OPPO: Accelerating PPO-based RLHF via Pipeline Overlap
Llms

[2509.25762] OPPO: Accelerating PPO-based RLHF via Pipeline Overlap

Abstract page for arXiv paper 2509.25762: OPPO: Accelerating PPO-based RLHF via Pipeline Overlap

arXiv - Machine Learning · 3 min ·
[2508.02833] TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback
Llms

[2508.02833] TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback

Abstract page for arXiv paper 2508.02833: TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback

arXiv - Machine Learning · 4 min ·
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