stability

This paper develops an ℓ0-type stability theory for subdominant (minmax) ultrametrics, proving that sparse edits propagate only through the minimum spanning tree and deriving Hamming–Lipschitz bounds on changed ultrametric entries. Experiments on deep-embedding graphs and clustering tasks demonstrate the utility of the resulting structural scores as vulnerability diagnostics.

The paper introduces a distribution-based framework to measure the stability of attribution methods (explainers) by quantifying the separability of feature rankings and identifying the maximum top-k ranking that remains reliable across stochastic runs.

A reflective blog post debunking the myth that Mac OS X Snow Leopard was a perfectly stable and polished release, citing the author's own downgrade experiences and other critiques, while noting why the idea of a 'Snow Leopard' release still resonates today.

Introduces CACHE-UK, a stability-aware memory editing framework for sequentially updating quantized LLMs in finance, reducing knowledge degradation on 4-bit OpenLLaMA-3B while improving generalization rates on a UK financial corpus.

This paper tests how different LLM families evaluate ethnonationalist pseudo-science across time and interfaces, finding that epistemic stance is contingent on deployment configuration rather than stable model properties, raising concerns about epistemic accountability.

Vellium v1.0.0 has been released, featuring security hardening, wallpaper-based themes, JSON chat export, and major desktop stability improvements.

This article presents a recipe for low-precision (NVFP4) RL training that balances throughput and stability, addressing issues from forward and backward pass quantization errors.

Bun, the JavaScript runtime and toolchain, is being rewritten from Zig to Rust to improve memory safety and stability, addressing a long tail of use-after-free and memory leak bugs.

Discusses the Lindy effect in software, arguing that older, battle-tested technologies are often more reliable and lower-risk than trendy new ones.

Odin programming language announces that it will release version 1.0 in January 2027 (Odin 2027), and has published a roadmap including complete specification, inline assembly, new standard library, etc.

This paper investigates the instability of large language model persona-driven generations in multiple-choice question answering (MCQA) tasks, proposing three metrics to measure performance, outcome, and correctness stability across model families, sizes, and question domains. The study finds that instability varies consistently, with math and commonsense questions showing greater instability, and that task prompt format introduces more instability than other hyperparameters like temperature.

Loss smoothing interpolates between source and target objectives during adaptation, preserving useful features while enabling specialization. Experiments across supervised shifts, RL, and language model fine-tuning show consistent improvements.

The Looped Transformer achieves internal reasoning by designing recursion directly into the architecture, avoiding the inefficiency of chain-of-thought having to simulate iteration by generating discrete tokens. Latest research shows it performs excellently on multi-hop reasoning, and can be further improved through stabilization techniques and adaptive recursion.

BV-Blend is a critic-free reinforcement learning framework that combines prompt-local on-policy statistics with historical moments from semantic clusters to stabilize advantage estimation, improving training stability and performance for aligning large language models with verifiable rewards.

This paper models the impact of delayed verification in multi-agent LLM systems, revealing that delayed correction can destabilize consensus and cause oscillations. It derives closed-form stability thresholds and provides a greedy approximation for optimal corrector placement, validated with experiments on five open models.

GEOALIGN, from the Alibaba team behind Qwen, identifies that instability in RL for LLMs often stems from a few bad rollouts causing conflicting update directions, and proposes a lightweight method to curate rollouts based on directional consistency, improving training stability and performance.

This paper systematically studies the stability of prompt rankings in LLM evaluation under common sources of variability, finding that top-performing prompts often change. It proposes a stability-aware selection strategy based on a lower confidence bound to improve robustness.

This article introduces the practical experience of using BeefAPI as an AI API relay service, emphasizing its stability, one-click configuration of secondary models, a quota calculator, and a Dragon Boat Festival promotional offer.

This paper analyzes residual scaling in looped (weight-tied) transformers, showing that weight sharing requires stronger scaling (1/N) than standard residual networks, and derives a factored parameterization that enables hyperparameter transfer across loop counts without retuning.

The GHC team outlines progress on making GHC upgrades easier, focusing on the Big Stability Goal and Base Package Goal to decouple the base package from compiler releases.