arXiv:2511.08947v3 Announce Type: replace Abstract: Time series forecasting plays a crucial role in decision-making across many real-world applications. Despite substantial progress, most existing methods still treat forecasting as a static, single-pass regression problem. In contrast, human experts form predictions through iterative reasoning that integrates temporal features, domain knowledge, case-based references, and supplementary context, with continuous […]
Human strategic decision making in parametrized games
arXiv:2104.14744v5 Announce Type: replace-cross Abstract: Many real-world games contain parameters which can affect payoffs, action spaces, and information states. For fixed values of the parameters, the game can be solved using standard algorithms. However, in many settings agents must act without knowing the values of the parameters that will be encountered in advance. Often the […]
Exploring How Fair Model Representations Relate to Fair Recommendations
arXiv:2603.24396v1 Announce Type: cross Abstract: One of the many fairness definitions pursued in recent recommender system research targets mitigating demographic information encoded in model representations. Models optimized for this definition are typically evaluated on how well demographic attributes can be classified given model representations, with the (implicit) assumption that this measure accurately reflects textitrecommendation parity, […]
The Free-Market Algorithm: Self-Organizing Optimization for Open-Ended Complex Systems
arXiv:2603.24559v1 Announce Type: cross Abstract: We introduce the Free-Market Algorithm (FMA), a novel metaheuristic inspired by free-market economics. Unlike Genetic Algorithms, Particle Swarm Optimization, and Simulated Annealing — which require prescribed fitness functions and fixed search spaces — FMA uses distributed supply-and-demand dynamics where fitness is emergent, the search space is open-ended, and solutions take […]
From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
arXiv:2512.02566v2 Announce Type: replace-cross Abstract: There is a growing interest in developing strong biomedical vision-language models. A popular approach to achieve robust representations is to use web-scale scientific data. However, current biomedical vision-language pretraining typically compresses rich scientific figures and text into coarse figure-level pairs, discarding the fine-grained correspondences that clinicians actually rely on when […]
Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer
arXiv:2603.18719v2 Announce Type: replace-cross Abstract: Bridging the simulation-to-reality (sim2real) gap remains challenging as labelled real-world data is scarce. Existing diffusion-based approaches rely on unstructured prompts or statistical alignment, which do not capture the structured factors that make images look real. We introduce Ontology- Guided Diffusion (OGD), a neuro-symbolic zero-shot sim2real image translation framework that represents […]
QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations
arXiv:2511.06767v2 Announce Type: replace-cross Abstract: Transformer-based models have revolutionized computer vision (CV) and natural language processing (NLP) by achieving state-of-the-art performance across a range of benchmarks. However, nonlinear operations in models significantly contribute to inference latency, presenting unique challenges for efficient hardware acceleration. To this end, we propose QUARK, a quantization-enabled FPGA acceleration framework that […]
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
arXiv:2509.14181v4 Announce Type: replace-cross Abstract: Although contrastive and other representation-learning methods have long been explored in vision and NLP, their adoption in modern time series forecasters remains limited. We believe they hold strong promise for this domain. To unlock this potential, we explicitly align past and future representations, thereby bridging the distributional gap between input […]
OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model
arXiv:2602.12304v3 Announce Type: replace-cross Abstract: Existing mainstream video customization methods focus on generating identity-consistent videos based on given reference images and textual prompts. Benefiting from the rapid advancement of joint audio-video generation, this paper proposes a more compelling new task: sync audio-video customization, which aims to synchronously customize both video identity and audio timbre. Specifically, […]
Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
arXiv:2603.24324v1 Announce Type: cross Abstract: Designing effective auxiliary rewards for cooperative multi-agent systems remains a precarious task; misaligned incentives risk inducing suboptimal coordination, especially where sparse task feedback fails to provide sufficient grounding. This study introduces an automated reward design framework that leverages large language models to synthesize executable reward programs from environment instrumentation. The […]
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
arXiv:2603.24511v1 Announce Type: cross Abstract: LLM agents like Claude Code can not only write code but also be used for autonomous AI research and engineering citeprank2026posttrainbench, novikov2025alphaevolve. We show that an emphautoresearch-style pipeline citepkarpathy2026autoresearch powered by Claude Code discovers novel white-box adversarial attack textitalgorithms that textbfsignificantly outperform all existing (30+) methods in jailbreaking and prompt […]
Geometry and stability of species complexes: larger species speciate less often
arXiv:2503.22784v3 Announce Type: replace Abstract: Species complexes are groups of closely related populations exchanging genes through dispersal. We study the dynamics of the structure of species complexes in a class of metapopulation models where demes can exchange genetic material through migration and diverge through the accumulation of new mutations. Importantly, we model the ecological feedback […]