Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Uber burned its entire 2026 AI coding budget in 4 months - $500-2k per engineer per month

Uber deployed Claude Code to engineers in December 2025. By April 2026, the company had consumed its entire annual AI budget - not becaus...

Reddit - Artificial Intelligence · 1 min ·
Llms

Should agent architectures be fixed… or generated at runtime? [D]

I’m sharing a research prototype exploring a different approach to LLM-based multi-agent systems. Most current agent frameworks rely on f...

Reddit - Machine Learning · 1 min ·
Llms

What is the basic minimum while you prompt

I have realised Claude answers as best as you prompt it. And I suck at it. 😂 I have tried role playing you are top 1% etc and adding cons...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2506.06683] RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
Llms

[2506.06683] RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks

Abstract page for arXiv paper 2506.06683: RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks

arXiv - AI · 4 min ·
[2506.03135] OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
Llms

[2506.03135] OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Abstract page for arXiv paper 2506.03135: OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

arXiv - AI · 4 min ·
[2506.02860] Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Llms

[2506.02860] Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs

Abstract page for arXiv paper 2506.02860: Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs

arXiv - AI · 3 min ·
[2505.11076] Addition is almost all you need: Compressing large language models with double binary factorization
Llms

[2505.11076] Addition is almost all you need: Compressing large language models with double binary factorization

Abstract page for arXiv paper 2505.11076: Addition is almost all you need: Compressing large language models with double binary factoriza...

arXiv - Machine Learning · 4 min ·
[2505.24298] AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Llms

[2505.24298] AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Abstract page for arXiv paper 2505.24298: AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

arXiv - Machine Learning · 4 min ·
[2505.21786] VeriTrail: Closed-Domain Hallucination Detection with Traceability
Llms

[2505.21786] VeriTrail: Closed-Domain Hallucination Detection with Traceability

Abstract page for arXiv paper 2505.21786: VeriTrail: Closed-Domain Hallucination Detection with Traceability

arXiv - AI · 3 min ·
[2504.03889] Identifying and Evaluating Inactive Heads in Pretrained LLMs
Llms

[2504.03889] Identifying and Evaluating Inactive Heads in Pretrained LLMs

Abstract page for arXiv paper 2504.03889: Identifying and Evaluating Inactive Heads in Pretrained LLMs

arXiv - Machine Learning · 4 min ·
[2505.20278] Characterizing Pattern Matching and Its Limits on Compositional Task Structures
Llms

[2505.20278] Characterizing Pattern Matching and Its Limits on Compositional Task Structures

Abstract page for arXiv paper 2505.20278: Characterizing Pattern Matching and Its Limits on Compositional Task Structures

arXiv - Machine Learning · 4 min ·
[2505.21413] RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning
Llms

[2505.21413] RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning

Abstract page for arXiv paper 2505.21413: RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning

arXiv - AI · 4 min ·
[2505.21396] Augmenting Research Ideation with Data: An Empirical Investigation in Social Science
Llms

[2505.21396] Augmenting Research Ideation with Data: An Empirical Investigation in Social Science

Abstract page for arXiv paper 2505.21396: Augmenting Research Ideation with Data: An Empirical Investigation in Social Science

arXiv - AI · 4 min ·
[2503.08980] I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Llms

[2503.08980] I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?

Abstract page for arXiv paper 2503.08980: I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts...

arXiv - Machine Learning · 4 min ·
[2505.16056] Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
Llms

[2505.16056] Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models

Abstract page for arXiv paper 2505.16056: Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models

arXiv - Machine Learning · 4 min ·
[2505.17702] Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek
Llms

[2505.17702] Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek

Abstract page for arXiv paper 2505.17702: Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via De...

arXiv - AI · 4 min ·
[2505.17568] JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
Llms

[2505.17568] JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

Abstract page for arXiv paper 2505.17568: JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models

arXiv - AI · 4 min ·
[2505.15504] Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
Llms

[2505.15504] Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification

Abstract page for arXiv paper 2505.15504: Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification

arXiv - AI · 4 min ·
[2505.13109] FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
Llms

[2505.13109] FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

Abstract page for arXiv paper 2505.13109: FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

arXiv - Machine Learning · 4 min ·
[2505.12186] Self-Destructive Language Model
Llms

[2505.12186] Self-Destructive Language Model

Abstract page for arXiv paper 2505.12186: Self-Destructive Language Model

arXiv - Machine Learning · 4 min ·
[2502.01481] Intrinsic Entropy of Context Length Scaling in LLMs
Llms

[2502.01481] Intrinsic Entropy of Context Length Scaling in LLMs

Abstract page for arXiv paper 2502.01481: Intrinsic Entropy of Context Length Scaling in LLMs

arXiv - Machine Learning · 4 min ·
[2505.02881] Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
Llms

[2505.02881] Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

Abstract page for arXiv paper 2505.02881: Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

arXiv - Machine Learning · 4 min ·
[2505.02872] Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
Llms

[2505.02872] Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading

Abstract page for arXiv paper 2505.02872: Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading

arXiv - AI · 4 min ·
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