Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

If AI is about to get 10x smarter, how do we prevent the internet from collapsing under synthetic noise?

Im all for acceleration. I think the faster we hit AGI the better. but theres a bottleneck nobody here talks about enough-training data. ...

Reddit - Artificial Intelligence · 1 min ·
Llms

Qwen3 4B outperforms cloud agents on code tasks—with Mahoraga research [R]

Hey everyone in ML. I've been working on Mahoraga, an open-source orchestrator that routes tasks across local and cloud AI agents using a...

Reddit - Machine Learning · 1 min ·
Llms

Associative memory system for LLMs that learns during inference [P]

I've been working on MDA (Modular Dynamic Architecture), an online associative memory system for LLMs. Here's what I learned building it....

Reddit - Machine Learning · 1 min ·

All Content

[2603.04663] Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector
Llms

[2603.04663] Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector

Abstract page for arXiv paper 2603.04663: Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency H...

arXiv - Machine Learning · 4 min ·
[2603.04597] Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
Llms

[2603.04597] Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Abstract page for arXiv paper 2603.04597: Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

arXiv - AI · 4 min ·
[2603.04474] From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
Llms

[2603.04474] From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

Abstract page for arXiv paper 2603.04474: From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

arXiv - AI · 4 min ·
[2603.04464] Understanding the Dynamics of Demonstration Conflict in In-Context Learning
Llms

[2603.04464] Understanding the Dynamics of Demonstration Conflict in In-Context Learning

Abstract page for arXiv paper 2603.04464: Understanding the Dynamics of Demonstration Conflict in In-Context Learning

arXiv - Machine Learning · 4 min ·
[2603.04459] Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
Llms

[2603.04459] Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks

Abstract page for arXiv paper 2603.04459: Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks

arXiv - AI · 4 min ·
[2603.04460] VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling
Llms

[2603.04460] VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling

Abstract page for arXiv paper 2603.04460: VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling

arXiv - Machine Learning · 3 min ·
[2603.04455] Large Language Models as Bidding Agents in Repeated HetNet Auction
Llms

[2603.04455] Large Language Models as Bidding Agents in Repeated HetNet Auction

Abstract page for arXiv paper 2603.04455: Large Language Models as Bidding Agents in Repeated HetNet Auction

arXiv - AI · 4 min ·
[2603.04454] Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam
Llms

[2603.04454] Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam

Abstract page for arXiv paper 2603.04454: Query Disambiguation via Answer-Free Context: Doubling Performance on Humanity's Last Exam

arXiv - AI · 3 min ·
[2603.04453] Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
Llms

[2603.04453] Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models

Abstract page for arXiv paper 2603.04453: Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models

arXiv - Machine Learning · 3 min ·
[2603.04452] A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science
Llms

[2603.04452] A unified foundational framework for knowledge injection and evaluation of Large Language Models in Combustion Science

Abstract page for arXiv paper 2603.04452: A unified foundational framework for knowledge injection and evaluation of Large Language Model...

arXiv - AI · 3 min ·
[2603.04444] vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models
Llms

[2603.04444] vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models

Abstract page for arXiv paper 2603.04444: vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models

arXiv - AI · 4 min ·
[2603.04436] ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation
Llms

[2603.04436] ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation

Abstract page for arXiv paper 2603.04436: ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation

arXiv - Machine Learning · 4 min ·
[2603.04443] AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems
Llms

[2603.04443] AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems

Abstract page for arXiv paper 2603.04443: AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems

arXiv - Machine Learning · 4 min ·
[2603.04429] What Is Missing: Interpretable Ratings for Large Language Model Outputs
Llms

[2603.04429] What Is Missing: Interpretable Ratings for Large Language Model Outputs

Abstract page for arXiv paper 2603.04429: What Is Missing: Interpretable Ratings for Large Language Model Outputs

arXiv - AI · 4 min ·
[2603.04428] Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Devices
Llms

[2603.04428] Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Devices

Abstract page for arXiv paper 2603.04428: Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Dev...

arXiv - Machine Learning · 4 min ·
[2603.04421] Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
Llms

[2603.04421] Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?

Abstract page for arXiv paper 2603.04421: Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?

arXiv - AI · 3 min ·
[2603.04419] Context-Dependent Affordance Computation in Vision-Language Models
Llms

[2603.04419] Context-Dependent Affordance Computation in Vision-Language Models

Abstract page for arXiv paper 2603.04419: Context-Dependent Affordance Computation in Vision-Language Models

arXiv - Machine Learning · 4 min ·
[2603.04413] Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Meaning in LLM Text Summaries
Llms

[2603.04413] Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Meaning in LLM Text Summaries

Abstract page for arXiv paper 2603.04413: Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Me...

arXiv - AI · 4 min ·
[2603.04411] One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache
Llms

[2603.04411] One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache

Abstract page for arXiv paper 2603.04411: One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache

arXiv - Machine Learning · 3 min ·
[2603.04410] SalamahBench: Toward Standardized Safety Evaluation for Arabic Language Models
Llms

[2603.04410] SalamahBench: Toward Standardized Safety Evaluation for Arabic Language Models

Abstract page for arXiv paper 2603.04410: SalamahBench: Toward Standardized Safety Evaluation for Arabic Language Models

arXiv - AI · 4 min ·
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