ranking

Similarweb data shows the top 15 account pages by share of visit traffic on X in September 2026, spanning sports, entertainment, and news accounts, with elonmusk ranking third.

Meta researchers explore three diffusion-LLM parameterizations for permutation generation — hard-assignment, soft-assignment, and direct ordering-score prediction — evaluating them on recommendation reranking across Amazon domains and showing that design choices must be jointly optimized for corruption, parameterization, objective, and decoding.

该论文提出 acquisition-time residual adaptation 方法，在固定实验预算下保留可复用的基础打分器并学习排名修正，使 20 个测试筛选任务的命中回收率从 22.58% 提升至 28.61%（相对提升 26.7%），并优于多种对照方法。

Binance是DeFiLlama REAL排名中唯一获得S级评级的交易所，总分86/100，基于储备、执行质量、交易活跃度和流动性四项指标；同时有KOL透露曾被其他交易所付费要求发表负面评论。

该论文研究在用户偏好存在异质性时，通过成对比较按总体平均效用对模型进行排序所需的重复比较次数。作者提出了一种 Russian Roulette 式的 MLE 算法，仅需每上下文 O(log 1/Δ) 次（期望 O(1) 次）重复比较即可恢复排序，并证明了该对数依赖是最优的。

TasteBench introduces a multimodal benchmark and privacy-preserving competition for sensory prediction, spanning food-level ranking (21K+ human evaluations across 215 plant-based foods) and molecular-level taste classification (15K flavor molecules), with baselines reaching pairwise accuracy competitive with median human panelists. It aims to provide computational proxies for sustainable protein discovery, analogous to molecular docking in drug design.

An analysis of the top 50 most-cited AI researchers, highlighting how landmark papers like Attention is All You Need have shaped the field and whose work drives AI's influence.

The paper introduces reverse Item Response Theory to pharmacogenomics, treating cancer types as latent "subjects" and drugs as "items" to achieve sparsity-robust ranking recovery in fragmented drug-response matrices, outperforming simple averaging on GDSC2 data across multiple missingness regimes.

This paper empirically studies Jev, a decision-oriented "System One Model," for personalized recommendation reranking, finding it occupies a distinct quality–latency operating regime compared with recommendation-specific models and pointwise/listwise LLM rerankers across multiple domains and candidate-set sizes.

Sonnet 5.5 ranks second on the Artificial Analysis leaderboard, indicating its high performance in AI benchmarks.

This paper shows that LLM-based scorers producing equal ranking quality can still make different decisions when candidate order in the prompt changes, and introduces order-consistency SFT (OC-SFT) to penalize score disagreement across permutations. OC-SFT holds ranking quality while improving decision stability across reranking, response ranking, and multi-document QA tasks.

Meta's Muse app has topped the US App Store charts in the past 7 days, outperforming ChatGPT in rankings.

This paper introduces LIGE-GR, a method that uses large language models to smoothly transition from traditional ranking to generative recommendation systems, aiming to improve recommendation performance in the LLM era.

The article ranks individual barriers in the AI era, prioritizing self-brainwashing ability over mental resilience, credit, execution, judgment, filtering ability, and information asymmetry.

A tweet recommends viewing reviews of MapQuest's mobile app, which is currently the top app on the U.S. App Store, noting its nostalgic appeal.

This paper proposes MoPLEx, an algorithm for learning mixtures of Plackett-Luce models to handle heterogeneous preferences in AI alignment, showing improved clustering and ranking accuracy over baselines.

A new meta-ranking combines three public TTS leaderboards into one unified ranking of 110 models across 46 providers, updated weekly with a fixed methodology.

Stanford GSB professor Ilya Strebulaev releases a venture capital ranking based on 30 years and 230,000 investments, showing that 5% of VCs create 90% of profits, and it has a low correlation with the Midas List.

The 2026 US Top Venture Capital Firms Ranking has been officially released, listing the 100 leading firms in investments for the year.

Gary Marcus tweets that something has risen to #1 in technology, likely highlighting a notable trend or achievement in the tech field.