Key papers

• Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting (2025)
  Siru Zhong et al.
  10.43
• Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model (2026)
  Xinghang Li et al.
  9.48
• LLM-as-a-Verifier: A General-Purpose Verification Framework (2026)
  Jacky Kwok et al.
  8.60
• fev-bench: A Realistic Benchmark for Time Series Forecasting (2025)
  Oleksandr Shchur et al.
  8.05
• ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables (2025)
  Sebastian Pineda Arango et al.
  7.84
• BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models (2025)
  Zezhi Shao et al.
  7.69
• DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment (2025)
  Hao Wang et al.
  7.68
• FTS: A Framework to Find a Faithful TimeSieve (2024)
  Songning Lai et al.
  7.27
• Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation (2026)
  Amir El-Ghoussani et al.
  7.25
• FinCast: A Foundation Model for Financial Time-Series Forecasting (2025)
  Zhuohang Zhu et al.
  7.06
• Panda: A pretrained forecast model for chaotic dynamics (2025)
  Jeffrey Lai et al.
  6.47
• FlowState: Sampling Rate Invariant Time Series Forecasting (2025)
  Lars Graf et al.
  6.39
• Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts (2024)
  Xiaoming Shi et al.
  6.36
• Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models (2023)
  Alejandro Lopez-Lira and Yuehua Tang
  6.12
• Robust time series generation via Schr\"odinger Bridge: a comprehensive evaluation (2025)
  Alexandre Alouadi et al.
  6.12
• Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks (2024)
  Zijian Zhang et al.
  5.91
• Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models (2025)
  Young Jin Park et al.
  5.70
• BEDTime: A Unified Benchmark for Automatically Describing Time Series (2025)
  Medhasweta Sen et al.
  5.52
• TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents (2025)
  Geon Lee et al.
  5.48
• Using Pre-trained LLMs for Multivariate Time Series Forecasting (2025)
  Malcolm L. Wolff et al.
  5.43
• TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding (2025)
  Haochuan Zhang et al.
  5.43
• POCO: Scalable Neural Forecasting through Population Conditioning (2025)
  Yu Duan et al.
  5.35
• RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting (2025)
  Mohamad Hakam Shams Eddin et al.
  5.29
• Timer-XL: Long-Context Transformers for Unified Time Series Forecasting (2024)
  Yong Liu et al.
  5.02
• TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis (2025)
  Haokun Zhao et al.
  4.78
• Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models (2025)
  Li Mao et al.
  4.71
• Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning (2025)
  Jiaheng Li and Donghe Li and Ye Yang and Huan Xi and Yu Xiao and Li Sun and Dou An and Qingyu Yang
  4.71
• Joint Embeddings Go Temporal (2025)
  Sofiane Ennadir et al.
  4.58
• Interpreting Time Series Forecasts with LIME and SHAP: A Case Study on the Air Passengers Dataset (2025)
  Manish Shukla
  4.53
• Foundation Models for Demand Forecasting via Dual-Strategy Ensembling (2025)
  Wei Yang et al.
  4.47
• Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting (2025)
  Timoth\'ee Hornek Amir Sartipi and Igor Tchappi and Gilbert Fridgen
  4.42
• Not All Refusals Are Equal: How Safety Alignment Fails Cybersecurity at Scale (2026)
  Vadym Hadetskyi et al.
  4.33
• Quantize the Target, Quantize the Drafter: Efficient Inference with Qwen3.5-4B (2026)
  Jaeyeon Kim et al.
  4.33
• Prompt engineering using order-of-addition experiments: An application to generating two-level fractional factorial designs (2026)
  Duoduo Danny Ying et al.
  4.33
• Foundation Models for Automatic CAD Generation (2026)
  J de Curt\`o et al.
  4.33
• LLM-Guided Measurement Credibility Correction for Trustworthy Industrial Process Inference (2026)
  Youcheng Zong et al.
  4.33
• From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution (2026)
  Heting Mao
  4.33
• YUKTI: From Natural-Language Situations to Robust, Verifiable Decisions An Uncertainty-Typed Proposition IR, Assumption-Robust Pareto Frontiers, and a Regret Certificate (2026)
  Suyash Mishra
  4.33
• Closed-Loop Control with Rule-Aligned Small Language Models and Multi-Agent Self-Correction (2026)
  Yuchen Wang et al.
  4.33
• Trivial Prompt Reframing Bypasses Safety Guardrails in Google\'s MedGemma-4B (2026)
  Avi-ad Avraam Buskila
  4.33
• A Unified Model for Highly Accurate ECG-Free Dynamic Coronary Roadmapping Using Spatio-Temporal Transformers (2026)
  Saahil Islam et al.
  4.33
• Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization (2026)
  Zhicheng Cai et al.
  4.33
• GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention (2026)
  Jiaxin Pan et al.
  4.33
• Information-seeking failures of large language models in agentic clinical reasoning (2026)
  Krischan Braitsch et al.
  4.33
• Can Agentic Trading Systems Pay for Their Own Intelligence? (2026)
  Qiqi Duan et al.
  4.33
• SPARK: Susceptibility-Guided Profiling and Steering of Latent Reasoning States in Large Language Models (2026)
  Dongxu Zhang et al.
  4.33
• Large language model agents accelerate inverse design of metal-organic frameworks for gas separation (2026)
  Zhaolin Hu et al.
  4.33
• Laguerre Geometry for Interpreting Large Language Models (2026)
  Chunwei Ma et al.
  4.33
• WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMs (2026)
  Mohannad Takrouri et al.
  4.33
• Filtering Harmful Actions Isn't Enough: Phantom Transfer in Agentic SDF (2026)
  Chinmayi Dixit
  4.33
• NextFund: A Unified Performance Tracking Platform for Agentic Portfolio Management (2026)
  Changlun Li et al.
  4.33
• The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy (2026)
  Chunzheng Zhu et al.
  4.33
• A Unified Framework for Comprehensive Cardiac CT Segmentation and Phenotyping: Human-in-the-Loop Data Annotation, Vision Foundation Model Development, Multicenter Evaluation and Clinical Validation (2026)
  Pooya Mohammadi Kazaj et al.
  4.33
• Calibrated e-CUSUM Decoding for Quantized Reasoning Models: Why Token Log-Probability Is the Wrong Observable for Decoding Monitors (2026)
  El Hassane Ettifouri (Novelis Research et al.
  4.33
• Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents (2026)
  Chenglin Yu et al.
  4.33
• Agentic Routing: The Harness-Native Data Flywheel (2026)
  Xinchen Liu et al.
  4.33
• RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM (2026)
  Mikhail Komarov et al.
  4.33
• From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence (2026)
  Yuanzhi Liang et al.
  4.33
• Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning (2026)
  Jing Liu et al.
  4.33
• Delta-Based Target Reformulation for Short-Term Electricity Load Forecasting Using LSTM and Transformer Models (2026)
  Vansh Bansal
  4.27