Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

OpenAI starts laying foundations for ChatGPT ads in EU

submitted by /u/ThereWas [link] [comments]

Reddit - Artificial Intelligence · 1 min ·
Llms

How do you use AI Agents for EDA/Data Analysis and getting it ready for ML model training? [D]

Like in manual workflow I would study the given data by using various functions like pd.info() and all column wise, remove null, outliers...

Reddit - Machine Learning · 1 min ·
Llms

I built a router that automatically sends your AI tasks to the most appropriate model to handle them at low cost - 9,200 tasks in, $21 saved at $0.14 actual cost

The observation that started this: most of what people use AI for every day - summarising, drafting, classifying, extracting etc doesn't ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2512.03324] Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
Llms

[2512.03324] Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs

Abstract page for arXiv paper 2512.03324: Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs

arXiv - Machine Learning · 4 min ·
[2511.20099] QiMeng-CRUX: Narrowing the Gap between Natural Language and Verilog via Core Refined Understanding eXpression
Llms

[2511.20099] QiMeng-CRUX: Narrowing the Gap between Natural Language and Verilog via Core Refined Understanding eXpression

Abstract page for arXiv paper 2511.20099: QiMeng-CRUX: Narrowing the Gap between Natural Language and Verilog via Core Refined Understand...

arXiv - Machine Learning · 4 min ·
[2511.19473] WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
Llms

[2511.19473] WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning

Abstract page for arXiv paper 2511.19473: WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning

arXiv - Machine Learning · 4 min ·
[2510.22210] LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation
Llms

[2510.22210] LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation

Abstract page for arXiv paper 2510.22210: LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation

arXiv - AI · 4 min ·
[2510.20487] Steering Evaluation-Aware Language Models to Act Like They Are Deployed
Llms

[2510.20487] Steering Evaluation-Aware Language Models to Act Like They Are Deployed

Abstract page for arXiv paper 2510.20487: Steering Evaluation-Aware Language Models to Act Like They Are Deployed

arXiv - AI · 4 min ·
[2510.19807] Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
Llms

[2510.19807] Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

Abstract page for arXiv paper 2510.19807: Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

arXiv - Machine Learning · 4 min ·
[2511.02044] Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
Llms

[2511.02044] Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning

Abstract page for arXiv paper 2511.02044: Regularization Through Reasoning: Systematic Improvements in Language Model Classification via ...

arXiv - Machine Learning · 4 min ·
[2510.18871] How Do LLMs Use Their Depth?
Llms

[2510.18871] How Do LLMs Use Their Depth?

Abstract page for arXiv paper 2510.18871: How Do LLMs Use Their Depth?

arXiv - AI · 4 min ·
[2510.18866] LightMem: Lightweight and Efficient Memory-Augmented Generation
Llms

[2510.18866] LightMem: Lightweight and Efficient Memory-Augmented Generation

Abstract page for arXiv paper 2510.18866: LightMem: Lightweight and Efficient Memory-Augmented Generation

arXiv - Machine Learning · 4 min ·
[2511.00177] Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
Llms

[2511.00177] Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

Abstract page for arXiv paper 2511.00177: Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

arXiv - Machine Learning · 4 min ·
[2511.00405] UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Llms

[2511.00405] UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Abstract page for arXiv paper 2511.00405: UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

arXiv - Machine Learning · 4 min ·
[2510.18560] WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
Llms

[2510.18560] WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

Abstract page for arXiv paper 2510.18560: WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

arXiv - AI · 4 min ·
[2510.15905] Digital Companionship: Overlapping Uses of AI Companions and AI Assistants
Llms

[2510.15905] Digital Companionship: Overlapping Uses of AI Companions and AI Assistants

Abstract page for arXiv paper 2510.15905: Digital Companionship: Overlapping Uses of AI Companions and AI Assistants

arXiv - AI · 4 min ·
[2510.21910] Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
Llms

[2510.21910] Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks

Abstract page for arXiv paper 2510.21910: Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks

arXiv - Machine Learning · 4 min ·
[2510.15863] PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
Llms

[2510.15863] PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction

Abstract page for arXiv paper 2510.15863: PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction

arXiv - AI · 4 min ·
[2510.20264] Optimistic Task Inference for Behavior Foundation Models
Llms

[2510.20264] Optimistic Task Inference for Behavior Foundation Models

Abstract page for arXiv paper 2510.20264: Optimistic Task Inference for Behavior Foundation Models

arXiv - Machine Learning · 4 min ·
[2510.21314] A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
Llms

[2510.21314] A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

Abstract page for arXiv paper 2510.21314: A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

arXiv - Machine Learning · 4 min ·
[2510.13888] Reliable Fine-Grained Evaluation of Natural Language Math Proofs
Llms

[2510.13888] Reliable Fine-Grained Evaluation of Natural Language Math Proofs

Abstract page for arXiv paper 2510.13888: Reliable Fine-Grained Evaluation of Natural Language Math Proofs

arXiv - AI · 4 min ·
[2510.17206] Soft-Masked Diffusion Language Models
Llms

[2510.17206] Soft-Masked Diffusion Language Models

Abstract page for arXiv paper 2510.17206: Soft-Masked Diffusion Language Models

arXiv - Machine Learning · 4 min ·
[2510.18245] Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
Llms

[2510.18245] Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

Abstract page for arXiv paper 2510.18245: Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

arXiv - Machine Learning · 4 min ·
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