Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

World models will be the next big thing, bye-bye LLMs

Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...

Reddit - Artificial Intelligence · 1 min ·
Llms

we open sourced a tool that auto generates your AI agent context from your actual codebase, just hit 250 stars

hey everyone. been lurking here for a while and wanted to share something we been building. the problem: ai coding agents are only as goo...

Reddit - Artificial Intelligence · 1 min ·
Llms

I Accidentally Discovered a Security Vulnerability in AI Education — Then Submitted It To a $200K Competition

Last night I was testing Maestro University, the first fully AI-taught university. I walked into their enrollment chatbot and asked it to...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.20895] LLM Router: Prefill is All You Need
Llms

[2603.20895] LLM Router: Prefill is All You Need

Abstract page for arXiv paper 2603.20895: LLM Router: Prefill is All You Need

arXiv - Machine Learning · 3 min ·
[2603.20808] Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models
Llms

[2603.20808] Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models

Abstract page for arXiv paper 2603.20808: Predictive Regularization Against Visual Representation Degradation in Multimodal Large Languag...

arXiv - Machine Learning · 4 min ·
[2603.20799] RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution
Llms

[2603.20799] RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution

Abstract page for arXiv paper 2603.20799: RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a...

arXiv - Machine Learning · 4 min ·
[2603.20389] A chemical language model for reticular materials design
Llms

[2603.20389] A chemical language model for reticular materials design

Abstract page for arXiv paper 2603.20389: A chemical language model for reticular materials design

arXiv - Machine Learning · 4 min ·
[2603.20314] VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs
Llms

[2603.20314] VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs

Abstract page for arXiv paper 2603.20314: VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs

arXiv - Machine Learning · 3 min ·
[2603.20219] Thinking into the Future: Latent Lookahead Training for Transformers
Llms

[2603.20219] Thinking into the Future: Latent Lookahead Training for Transformers

Abstract page for arXiv paper 2603.20219: Thinking into the Future: Latent Lookahead Training for Transformers

arXiv - Machine Learning · 4 min ·
[2603.20218] An experimental study of KV cache reuse strategies in chunk-level caching systems
Llms

[2603.20218] An experimental study of KV cache reuse strategies in chunk-level caching systems

Abstract page for arXiv paper 2603.20218: An experimental study of KV cache reuse strategies in chunk-level caching systems

arXiv - Machine Learning · 3 min ·
[2603.20215] Multi-Agent Debate with Memory Masking
Llms

[2603.20215] Multi-Agent Debate with Memory Masking

Abstract page for arXiv paper 2603.20215: Multi-Agent Debate with Memory Masking

arXiv - Machine Learning · 4 min ·
[2603.20212] Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models
Llms

[2603.20212] Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

Abstract page for arXiv paper 2603.20212: Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

arXiv - Machine Learning · 3 min ·
[2603.20217] Expected Reward Prediction, with Applications to Model Routing
Llms

[2603.20217] Expected Reward Prediction, with Applications to Model Routing

Abstract page for arXiv paper 2603.20217: Expected Reward Prediction, with Applications to Model Routing

arXiv - Machine Learning · 4 min ·
[2603.22206] Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs
Llms

[2603.22206] Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs

Abstract page for arXiv paper 2603.22206: Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs

arXiv - Machine Learning · 4 min ·
[2603.22184] Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?
Llms

[2603.22184] Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?

Abstract page for arXiv paper 2603.22184: Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?

arXiv - Machine Learning · 4 min ·
[2603.22161] Causal Evidence that Language Models use Confidence to Drive Behavior
Llms

[2603.22161] Causal Evidence that Language Models use Confidence to Drive Behavior

Abstract page for arXiv paper 2603.22161: Causal Evidence that Language Models use Confidence to Drive Behavior

arXiv - Machine Learning · 4 min ·
[2603.22154] dynActivation: A Trainable Activation Family for Adaptive Nonlinearity
Llms

[2603.22154] dynActivation: A Trainable Activation Family for Adaptive Nonlinearity

Abstract page for arXiv paper 2603.22154: dynActivation: A Trainable Activation Family for Adaptive Nonlinearity

arXiv - Machine Learning · 3 min ·
[2603.22017] AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing
Llms

[2603.22017] AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing

Abstract page for arXiv paper 2603.22017: AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing

arXiv - Machine Learning · 3 min ·
[2603.21972] Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe
Llms

[2603.21972] Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

Abstract page for arXiv paper 2603.21972: Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe

arXiv - Machine Learning · 4 min ·
[2603.21862] Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization
Llms

[2603.21862] Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization

Abstract page for arXiv paper 2603.21862: Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization

arXiv - Machine Learning · 4 min ·
[2603.21705] Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs
Llms

[2603.21705] Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs

Abstract page for arXiv paper 2603.21705: Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs

arXiv - Machine Learning · 4 min ·
[2603.21584] SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
Llms

[2603.21584] SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models

Abstract page for arXiv paper 2603.21584: SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.21567] Kolmogorov Complexity Bounds for LLM Steganography and a Perplexity-Based Detection Proxy
Llms

[2603.21567] Kolmogorov Complexity Bounds for LLM Steganography and a Perplexity-Based Detection Proxy

Abstract page for arXiv paper 2603.21567: Kolmogorov Complexity Bounds for LLM Steganography and a Perplexity-Based Detection Proxy

arXiv - Machine Learning · 3 min ·
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