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Fine-Tuning a 7B Advisor on Free-Tier GPUs: Adapter-Handoff Recipe Published with Synthetic Data Reliability Warning India's Foodgrain Reserves Hit Record 122 mt as El Nino Looms Over 2026 Kharif Crop Meta's RADAR Automates Low-Risk Code Review, Cutting Review Time by 330% SDFLoRA: Selective Decoupled Federated LoRA for Privacy-Preserving Fine-Tuning with Heterogeneous Clients Phase, Not Magnitude, Drives Image Classifier Predictions, New Research Reveals When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control Fast-dLLM++ Boosts Diffusion LLM Inference Up to 37% With Fréchet Profile Decoding MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks CircuitLasso Enables Scalable Interpretability for Large Language Models at Lower Cost MapDream: Task-Driven Map Learning Achieves State-of-the-Art Vision-Language Navigation Fine-Tuning a 7B Advisor on Free-Tier GPUs: Adapter-Handoff Recipe Published with Synthetic Data Reliability Warning India's Foodgrain Reserves Hit Record 122 mt as El Nino Looms Over 2026 Kharif Crop Meta's RADAR Automates Low-Risk Code Review, Cutting Review Time by 330% SDFLoRA: Selective Decoupled Federated LoRA for Privacy-Preserving Fine-Tuning with Heterogeneous Clients Phase, Not Magnitude, Drives Image Classifier Predictions, New Research Reveals When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control Fast-dLLM++ Boosts Diffusion LLM Inference Up to 37% With Fréchet Profile Decoding MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks CircuitLasso Enables Scalable Interpretability for Large Language Models at Lower Cost MapDream: Task-Driven Map Learning Achieves State-of-the-Art Vision-Language Navigation

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scheduling

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New Fluid-Guided Algorithm Optimizes LLM Inference Scheduling Under Memory Constraints

Artificial Intelligence #llm#inference

New Fluid-Guided Algorithm Optimizes LLM Inference Scheduling Under Memory Constraints

A new paper from researchers including David Simchi-Levi introduces a fluid-guided online scheduling approach for LLM inference that addresses memory constraints from Key-Value cache growth. The WAIT and Nested WAIT algorithms approximate an optimal fluid benchmark, reducing latency in overloaded regimes according to simulations on Llama-2-7B with A100 GPUs.

Jun 16, 2026 1 source

Surprise-Guided MergeSort Reduces Human Ranking Costs by Using AI to Prioritise Comparisons

Software #mergesort#human-in-the-loop

Surprise-Guided MergeSort Reduces Human Ranking Costs by Using AI to Prioritise Comparisons

Researchers propose Surprise-Guided MergeSort (SGS), a framework that combines a Vision-Language Model with MergeSort to schedule pairwise comparisons for subjective ranking tasks. SGS routes only ambiguous comparisons to humans, achieving Kendall's τ×100 improvements of +6 to +12 over Active Elo under the same budget.

Jun 16, 2026 1 source