The Archive

OnePred benchmark and method for next-query prediction in multi-turn LLM conversations using recursive intent memory to avoid linear token growth.

Smartwatch-based drunk driving detection using accelerometer and heart rate variability; domain-specific application outside core AI research.

OpenSkillEval automated framework audits open-source skill-augmented LLM agent systems for quality, compatibility, and cost-performance trade-offs.

CVSearch training-free framework for multimodal LLMs adaptively balances visual search strategies to improve high-resolution image perception efficiency.

Steven Rosenbaum explains how inaccurate quotes got into his book The Future of Truth.

Reddit post about students using AI tools instead of studying; anecdotal social media commentary.

PCSP shared RL policy for persona-consistent NPC control in life sims achieves 22x faster inference than LLM baselines on 300-persona benchmark.

Corpus-linguistic evaluation framework measures linguistic humanlikeness of LLM outputs via register-aware patterns; addresses underexplored text quality dimension.

Theoretical analysis of preference-only RLHF in kernel MDPs using Bradley-Terry-Luce model for binary trajectory feedback without numeric rewards.

Study of subliminal learning in model distillation shows compatible output heads, not matched initialization, govern knowledge transfer through noise.

RL framework inspired by AlphaZero optimizes proof search in Tamarin security protocol verification tool, reducing human effort.

OpenBMB's BitCPM-CANN 1.58-bit model undergoing testing on Huawei Ascend 910B hardware.

A month ago, I was hacked through the **Max 20** gifting feature and charged $220. I inquired about a refund with fin, and they said they would forward it to the relevant team, but I haven't received a single email for a month. So today, I asked fin to provide details about our past conversations and the refund status, but they claimed they didn't know anything. fin told me to go to Account > Get Help to request a refund, but the problem is, fin is the chatbot that opens through that "Get Help" option! I even sent an email to '@usersafety', but the only response I received was "Click A...

Dirichlet-based Monte Carlo Dropout framework improves uncertainty quantification in neural networks without full Bayesian complexity.

DualMem addresses false-positive bottleneck in open-world object detection by filtering background noise in unknown streams.

CopFITi copula model for irregular multivariate time series combines normalizing flows and Gaussian mixture models.

Reddit discussion about job displacement from AI; lacks concrete claims or data.

Social choice analysis reveals multi-task benchmark vulnerability to gaming; benchmark-specific training treated as election manipulation.

DeepSeek extends 75% API pricing discount permanently after promotional period, maintaining aggressive market undercut vs. OpenAI and Anthropic.

Decade-long study of Android malware detector adversarial robustness under temporal concept drift across deployment scenarios.

Google Embeddings 2 outperforms five open-source dense retrieval models on BEIR and RAG benchmarks but faces latency tradeoff.

Entity-centric latent patch memory for multi-shot video generation maintains character consistency without full-frame overhead.

DiLaDiff uses latent diffusion and consistency model distillation to improve token correlation in masked diffusion language models.

Preisach Attention Layer applies hysteresis operator as O(1)-depth attention replacement, achieving Turing-completeness in single-layer Transformers.

Fine-tuning LLMs for entity resolution in KYC via structure-guided matching across naming conventions and scripts.

MetaEvaluator: meta-learning framework for label-free, cost-effective evaluation of unseen models across architectures.

Scheduling algorithms for aircraft disassembly optimization with task precedence and certification constraints.

Scaling laws for sparse-activation neural networks show double-descent and asymmetric loss dynamics.

Co-ReAct integrates step-level rubrics to guide ReAct agent reasoning in multi-step search tasks.

Study of training sample requirements for neural network inverse kinematics in robotic manipulators.